Data Protection Engineer

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: Long-term remote contract for a Senior Data Engineer focused on large-scale migration from SQL Server to Databricks/Delta Lake in an enterprise insurance environment. The role involves transforming complex SQL logic into scalable PySpark/Python solutions and developing production-grade data engineering code within Medallion architecture. You will work with petabyte-scale data and contribute to architectural design, code reviews, and CI/CD processes. 🗂️ Requirements: Strong commercial experience in data engineering (Mid/Senior level), Very good practical knowledge of Python, Hands-on experience with PySpark, Commercial experience with Databricks, Experience with Delta Lake, Advanced SQL skills and ability to analyze complex stored procedures, Experience with large shared codebases, Strong OOP knowledge, Application of Clean Code and refactoring principles, Experience in data modeling (transactional and analytical), Understanding of Medallion architecture, Experience with enterprise development workflows, Ability to write production-grade PySpark/Python code 📃 Skills: Python, PySpark, Databricks, DeltaLake, SQL, SQLServer, OOP, CleanCode, Medallion, Azure, DataFactory, Git, CICD, DevOps, PowerBI, Spark 🏢 Description: Be in IT to firma rekrutacyjna, wyspecjalizowana w poszukiwaniu Specjalistów z branży technologii informatycznych. Obecnie, dla naszego klienta, poszukujemy osoby na stanowisko Senior Data Engineer . Zakres obowiązków: Długofalowa współpraca z międzynarodową, topową firmą consultingową, świadcząca usługi IT dla dużych i średnich firm z różnorodnych sektorów jak automotive, healthcare, finanse, bankowość czy produkcja. Wsparcie wielkoskalowej transformacji systemów z SQL Server do platformy Databricks / Delta Lake w środowisku ubezpieczeniowym klienta. Analiza i transformacja złożonej logiki biznesowej (stored procedures) w SQL na czysty, skalowalny i łatwy w utrzymaniu kod w technologiach Python / PySpark. Aktywny rozwój i utrzymanie dużej bazy kodu inżynierii danych (data engineering codebase), współdzielonej przez wiele zespołów. Projektowanie i rozwijanie modeli danych w ramach Medallion Architecture (warstwy Bronze / Silver / Gold). Implementacja kodu transformacyjnego klasy produkcyjnej (pakiety, moduły, reużywalne komponenty), wykraczającego poza użycie samych notebooków. Zastosowanie najlepszych praktyk inżynierii oprogramowania (Clean Code, OOP, modularyzacja, refaktoryzacja). Praca z bardzo dużymi wolumenami danych (petabajty) oraz wysoce równoległymi, opartymi na zdarzeniach (event-driven) transformacjami. Udział w code reviews oraz dyskusjach dotyczących projektowania technicznego architektury. Opcjonalnie: wsparcie workflowów orkiestracyjnych (np. Azure Data Factory) oraz rozwój procesów i CI/CD pipelines. Oczekujemy: Praktycznego doświadczenia technicznego (poziom Strong Mid-Level / Senior) – weryfikowanego na podstawie rzeczywistych umiejętności inżynieryjnych, a nie wyłącznie lat pracy. Bardzo dobrej, praktycznej znajomości języka Python oraz technologii PySpark. Udokumentowanego doświadczenia w pracy z Databricks oraz Delta Lake. Umiejętności pracy w dużych, współdzielonych środowiskach kodu. Biegłej znajomości SQL, szczególnie w zakresie czytania i rozumienia bardzo złożonej logiki. Solidnego doświadczenia w programowaniu obiektowym (OOP) oraz stosowaniu zasad Clean Code i refaktoryzacji. Praktyki w pracy z przepływami dla rozwiązań klasy enterprise (enterprise development workflows) oraz zdolności analitycznego rozkładania istniejącego kodu linijka po linijce. Silnych kompetencji w modelowaniu danych (transakcyjnym i analitycznym) oraz zrozumienia architektur wielowarstwowych (Bronze / Silver / Gold). Gotowości do przejścia rozmowy technicznej weryfikującej produkcyjny kod PySpark/Python. Mile widziane: doświadczenie z Azure Data Factory, Git, CI/CD pipelines, DevOps oraz narzędziami analitycznymi takimi jak Power BI Znajomości języka angielskiego na poziomie B2 lub C1 – umożliwiająca swobodną komunikację w międzynarodowym środowisku oraz mile widziana jest znajomość języka niemieckiego. Mile widziana jest dostępność ASAP; akceptowalny jest maksymalnie miesięczny okres wypowiedzenia, ze skutkiem na koniec miesiąca. Oferujemy: Długofalowa współpraca z wynagrodzeniem w przedziale 140-170 PLN netto/godz. + VAT. Wsparcie przy zakładaniu i prowadzeniu działalności gospodarczej, dla osób bez takiego doświadczenia. Sprawny proces rekrutacyjny - dwie rozmowy techniczne z managerami, online (każda maksymalnie po godzinie). Współpraca w pełni zdalna. Benefity - prywatna opieka medyczna, karta Multisport. Nowoczesny sprzęt zapewniany przez firmę, wraz z softem i konfiguracją.

🏢 Summary: Offer for a DevSecOps Engineer responsible for integrating security across CI/CD pipelines and the entire software development lifecycle in a regulated healthcare environment. The role focuses on Security as Code, automation of security controls, threat monitoring, and ensuring compliance with industry regulations. Position involves close collaboration with development teams and preparation for security audits in a cloud and on-premise infrastructure. 🗂️ Requirements: Minimum 4 years of experience in cybersecurity, Strong knowledge of DevSecOps and DevOps concepts, Experience with CI/CD pipelines and IaC, Ability to integrate security into SDLC, Experience with SAST, DAST, SCA, IAST, Experience with containerization and orchestration, Ability to define Security as Code and Compliance as Code policies, Experience with version control systems, Experience with CI/CD tools, Very good English proficiency 📃 Skills: DevSecOps, DevOps, CI/CD, IaC, Python, Bash, PowerShell, Git, Bitbucket, GitHub, Jenkins, Azure, SAST, DAST, SCA, IAST, Docker, Kubernetes, ISO27001, NIST, DORA 🏢 Description: Dla naszego klienta, jednej z największych prywatnych organizacji medycznych w Polsce, świadczącej kompleksowe usługi zdrowotne i rozwijającej nowoczesne rozwiązania cyfrowe w obszarze ochrony zdrowia, poszukujemy osoby na stanowisko DevSecOps Engineer . Wymagania Integracja mechanizmów bezpieczeństwa w procesach CI/CD oraz całym cyklu życia oprogramowania Projektowanie i wdrażanie polityk Security as Code w celu automatyzacji kontroli bezpieczeństwa Utrzymanie i rozwój narzędzi DevSecOps do skanowania kodu, zależności oraz obrazów kontenerowych Monitorowanie zagrożeń w procesach wytwórczych oraz infrastrukturze (on-premise i chmura) Wdrażanie podejścia Shift Left oraz prowadzenie szkoleń dla zespołów developerskich Analiza ryzyk bezpieczeństwa w procesach DevOps i rekomendowanie działań korygujących Definiowanie standardów i najlepszych praktyk zgodnych z regulacjami (KNF, DORA, ISO 27001, NIST) Zapewnienie zgodności procesów oraz przygotowanie organizacji do audytów bezpieczeństwa Raportowanie wskaźników bezpieczeństwa (KPI/KRI) dla procesów DevSecOps Obowiązki Minimum 4 lata doświadczenia w obszarze cyberbezpieczeństwa Bardzo dobra znajomość koncepcji DevSecOps oraz DevOps (CI/CD, IaC) Znajomość języków programowania i skryptowych (Python, Bash, PowerShell) Doświadczenie w pracy z systemami kontroli wersji (Git, Bitbucket, GitHub) Znajomość narzędzi CI/CD (Jenkins, Azure DevOps, GitHub Actions) Wiedza z zakresu bezpieczeństwa aplikacyjnego (SAST, DAST, SCA, IAST) Znajomość konteneryzacji i orkiestracji (Docker, Kubernetes) Umiejętność definiowania polityk Security as Code oraz Compliance as Code Bardzo dobra znajomość języka angielskiego (komunikacja merytoryczna) Mile widziane Doświadczenie w środowisku regulowanym (np. sektor medyczny) Znajomość standardów i frameworków bezpieczeństwa (ISO 27001, NIST, DORA) Doświadczenie w przygotowaniu organizacji do audytów bezpieczeństwa Oferujemy Umowa B2B oraz stabilna, długoterminowa współpraca Prywatna opieka medyczna Luxmed Karta sportowa Multisport Praca 100% zdalna Proces rekrutacyjny: Rozmowa HR - 20 min Rozmowa techniczna - 30 min Spotkanie z klientem - 1 h

🏢 Summary: Lead Data Engineer serving as an SME to design, implement, and sustain secure, automated data pipelines supporting mission systems across a government software ecosystem. The role focuses on building scalable ETL workflows, defining data exchange interfaces, and ensuring interoperability and RMF compliance in highly regulated environments. You will enable reliable ingestion, transformation, and dissemination of mission-critical data across internal and external systems. 🗂️ Requirements: Bachelor’s degree with 9+ years of experience or Master’s with 7+ years or PhD/JD with 4+ years in relevant field, 7+ years experience in software engineering, systems integration, or platform implementation in DoD, IC, SAP/SCI, or similar environments, Experience designing or implementing data pipelines, ETL workflows, or data integration architectures, Experience with structured and semi-structured data formats, Active Top Secret clearance with ability to obtain SCI and Special Program access, Willingness to undergo polygraph examination 📃 Skills: Python, ETL, JSON, CSV, XML, Apache, NiFi, Airflow, Pandas, NumPy, REST, RMF, PPSM, Palantir, Foundry 🏢 Description: Job Description Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment. The focuses on enabling reliable, automated, and secure data flows that support mission capabilities on operational timelines. This position requires collaboration with mission system stakeholders, platform engineers, and security teams to define data exchange artifacts, develop pipeline implementations, and ensure interfaces comply with Risk Management Framework (RMF) requirements. The engineer will leverage both low-code/no-code ETL technologies and custom software development to implement scalable data pipelines that support the data architecture. Typical job responsibilities Include: Mission-Relevant Data Artifact Identification: Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities. Define the structure, semantics, and lifecycle of mission data products within the data architecture. Ensure data artifacts align with architectural standards for interoperability, traceability, and reuse across mission components. Coordinate with External Stakeholders: Serve as the primary technical liaison for defining data exchange interfaces between mission systems. Collaborate with mission partners to define message schemas, data formats, transport mechanisms, and interface expectations. Document data interface specifications to support both system integration and operational sustainment. RMF & Security Documentation Support: Support the RMF process by defining technical details for machine-to-machine data interfaces. Produce or contribute to required RMF artifacts including: Data message descriptions Ports, Protocols, and Services Management (PPSM) entries System topology diagrams and interface documentation Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements. Data Pipeline Development & Sustainment: Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders. Utilize government-provided data platform infrastructure to build scalable ETL workflows. Develop custom transformation logic when required using appropriate programming languages and data processing frameworks. Expose processed data products through standardized service interfaces such as REST APIs or platform-native services. Data Pipeline Development & Sustainment: Implement data validation, normalization, and transformation logic to ensure accuracy and usability of integrated datasets. Troubleshoot data pipeline failures and implement monitoring, logging, and recovery mechanisms. Optimize pipeline performance to support mission timelines and large-scale data processing requirements. Deliverables & Key Projects Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems. Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces Interface documentation supporting integration with external mission partners. RMF technical artifacts supporting security authorization of data interfaces. Continuous improvement and sustainment of the data pipeline ecosystem to support evolving mission needs. Qualifications 9 years of experience and a Bachelor's degree in Computer Science, Software Engineering, Management Information Systems/Information Systems, or a related discipline; or a Master's degree and 7 years of experience; or a PhD/JD and 4 years of experience. 7+ years of experience supporting software engineering, systems integration, platform implementation, or application development efforts within DoD, IC, SAP/SCI, or other complex mission environments. Experience designing or implementing data pipelines, ETL workflows, or data integration architectures. Experience working with structured and semi-structured data formats (JSON, CSV, XML, etc.). Requires an active Top Secret clearance with the ability to obtain and maintain Sensitive Compartmented Information and Special Program access, as well as a willingness to consent to a polygraph examination. You will wow us even more if you have experience will the following: Proficiency with low-code/no-code data orchestration technologies such as Apache NiFi, Apache Airflow, or similar ETL orchestration tools. Experience implementing data transformation logic using Python and data processing libraries such as Pandas and NumPy. Certification or demonstrated experience as a Palantir Foundry Data Engineer, including use of Code Repositories, Pipeline Builder, AIP Logic, and other platform-relevant technologies Experience designing pipelines that process and fuse large-scale datasets from multiple sources. Familiarity with DoW data architectures, mission system integration, or data interoperability frameworks. Ability to communicate effectively with engineers, architects, operators, and senior Government leadership while translating technical concepts into mission-relevant value. Proven ability to work in highly regulated, fast-moving environments where technical excellence, mission responsiveness, and stakeholder coordination are all critical to success. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior DevOps Engineer role focused on deploying, securing, and sustaining mission-critical microservices in a Linux-based AWS environment for national security programs. The position centers on building and maintaining DevSecOps pipelines, managing AWS infrastructure, and supporting containerized and serverless architectures. Active Top Secret clearance is mandatory. 🗂️ Requirements: Active Top Secret clearance, Strong experience with GitLab including CI/CD pipelines and scripting, Hands-on experience with AWS services: CloudFormation, S3, ECS, EKS, Experience designing and supporting serverless solutions with Lambda and API Gateway, Experience configuring and deploying Docker containers, Experience designing and troubleshooting AWS VPC and virtual networks, Strong understanding of DevSecOps principles and release workflows, Experience supporting development, integration, and testing activities, Proficiency with Linux environments, Experience with Jira and Confluence 📃 Skills: AWS, Linux, GitLab, Docker, CloudFormation, S3, ECS, EKS, Lambda, APIGateway, VPC, Git, Jira, Confluence, DevSecOps, CICD 🏢 Description: ***This job requires active Top Secret clearance for consideration and SCI prior to start. Please apply only if you have an active Top Secret clearance. *** North Point Technology is hiring a senior DevOps engineer to deploy, secure, and sustain mission-critical microservices in a Linux-based AWS environment supporting high-impact national security work. Responsibilities: In this role, you will support the deployment of microservices through a DevSecOps pipeline in a Linux-based multi-tenant environment. You will design, implement, secure, and troubleshoot AWS virtual networks, including VPC connectivity, while developing, updating, and maintaining GitLab CI/CD pipeline code. You will configure, troubleshoot, and deploy Docker containers, review code in Git, create engineering and DevOps documentation, support developer deployments and testing, provide technical guidance across capabilities and microservices, and perform security remediation based on scan results. Required Qualifications: Self-starter who communicates clearly and works well across teams Experience developing and reviewing custom software solutions Strong GitLab experience, including scripting and pipeline troubleshooting Hands-on experience with AWS services including CloudFormation, S3, ECS, and EKS Experience designing and supporting serverless solutions with Lambda and API Gateway Experience supporting development, integration, and test activities Experience working with modern cloud architectures Strong understanding of DevSecOps principles and release workflows Experience creating and managing CI/CD pipelines Knowledge of software development and sustainment lifecycle practices Proficiency with Jira, Confluence, and other team collaboration tools Preferred Qualifications: Deep experience with GitLab CI/CD Experience with AWS Lambda and ECS in production environments Hands-on experience deploying and troubleshooting Docker containers AWS certification such as DevOps Engineer or Solutions Architect Linux certification Experience with ArcGIS or geospatial platforms North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

🏢 Summary: Senior Software Engineer role focused on developing a global passwordless authentication platform in the identity & security domain. The position involves backend and microservices development, designing scalable systems, and contributing to architecture decisions in an international environment. The offer includes hybrid work, flexible employment options, and influence on globally used security products. 🗂️ Requirements: Minimum 5 years of commercial experience as Fullstack or Backend Developer, Practical experience with Node.js, Very good knowledge of JavaScript, Very good knowledge of TypeScript, Very good knowledge of React, Experience with microservices architecture, Experience with AI tools in daily development work, Experience with SQL and/or NoSQL databases, Knowledge of HTTP and REST API, Knowledge of application testing, English proficiency minimum B2+, Polish proficiency minimum C1 📃 Skills: Node.js, NestJS, JavaScript, TypeScript, React, SQL, NoSQL, HTTP, REST, Claude, Cursor, Juni, OpenID, OAuth, SAML, AWS, GCP, CI/CD 🏢 Description: Pracuj nad rozwiązaniami, które zabezpieczają cyfrową tożsamość milionów użytkowników na całym świecie. Dla międzynarodowej firmy z branży usług informatycznych poszukiwany jest Senior Software Engineer do organizacji budującej nowoczesną platformę passwordless authentication, wykorzystywaną na szeroką skalę. Dołączysz do jednego z kilku zespołów odpowiedzialnych za rozwój kluczowych obszarów identity & security, takich jak uwierzytelnianie użytkowników, wykrywanie nadużyć, weryfikacja tożsamości czy orkiestracja procesów bezpieczeństwa. Nie jest to rola utrzymaniowa – zespoły aktywnie rozwijają produkty, tworzą nowe funkcjonalności i pracują nad rozwiązaniami wykorzystywanymi w skali globalnej. Będziesz mieć realny wpływ na decyzje techniczne i architekturę rozwijanych systemów. Lokalizacja: Gdańsk Model pracy: Hybryda (częstotliwość pracy w biurze do ustalenia) Forma zatrudnienia: B2B lub umowa o pracę Wynagrodzenie: - B2B: 170 - 190 PLN/h + VAT - UoP: 20.500 - 23.200 PLN brutto Zakres obowiązków: - rozwój i współtworzenie systemów w architekturze mikroserwisowej, - rozwój backendu - szukamy aktualnie osób specjalizujących się głównie w tym obszarze, - projektowanie i implementacja nowych funkcjonalności w obszarze identity & security, - udział w projektowaniu architektury systemu oraz podejmowaniu decyzji technicznych, - praca nad skalowalnością, wydajnością oraz niezawodnością systemu, - integracja pomiędzy różnymi komponentami platformy (m.in. authentication, risk, identity flows), - świadome wykorzystywanie narzędzi AI w codziennej pracy, - udział w code review, dbanie o jakość kodu oraz standardy wytwarzania oprogramowania, - praca w środowisku międzynarodowym (język angielski na co dzień). Oczekiwania: - min. 5 lat doświadczenia komercyjnego jako Fullstack / Backend Developer, - praktyczne doświadczenie z Node.js (mile widziany NestJS), - bardzo dobra znajomość JavaScript, TypeScript, React, - doświadczenie w pracy z architekturą mikroserwisową, - praktyczne doświadczenie w pracy z narzędziami AI (np. Claude, Cursor, Juni lub podobne), - umiejętność świadomego wykorzystywania AI w codziennej pracy, - doświadczenie z bazami danych (SQL i/lub NoSQL), - znajomość HTTP, REST API oraz nowoczesnych wzorców komunikacji, - wiedza z obszaru testowania aplikacji (frontend i/lub backend), - rozumienie działania implementowanych rozwiązań oraz ich konsekwencji architektonicznych, - bardzo dobra znajomość języka angielskiego (min. B2+), - płynna znajomość języka polskiego (min. C1), - umiejętność samodzielnej pracy i branie odpowiedzialności za tworzony produkt, - nastawienie na bycie częścią zespołu i otwartość na feedback. Mile widziane: - doświadczenie w obszarze security / identity, - znajomość OpenID, OAuth, SAML lub podobnych standardów, - znajomość chmury (AWS / GCP) oraz narzędzi CI/CD. Oferujemy: - realny wpływ na rozwój produktu używanego globalnie przez miliony użytkowników, - dużą samodzielność oraz szerokie możliwości rozwoju, - pracę w płaskiej strukturze i możliwość proponowania własnych rozwiązań, - środowisko nastawione na jakość i konstruktywny feedback, - wsparcie przełożonego, program mentoringowy i regularne spotkania 1on1, - współpracę w oparciu o kontrakt B2B lub umowę o pracę, - elastyczne godziny pracy (start między 7:00 a 10:00), - nowoczesny sprzęt (MacBook + urządzenia testowe), - integracje zespołowe i warsztaty techniczne, - pakiet benefitów (prywatna opieka medyczna, MultiSport, lekcje angielskiego), - pracę hybrydową z przewagą pracy zdalnej.

🏢 Summary: Senior Software Engineer role focused on developing a global passwordless authentication platform within identity and security domain. The position involves building and evolving microservices-based systems, contributing to architecture decisions, and implementing scalable, high-performance backend and/or frontend solutions. This is a product development role with real impact on globally used security solutions. 🗂️ Requirements: Minimum 5 years commercial experience as Fullstack, Backend or Frontend Developer, Strong knowledge of JavaScript and TypeScript, Commercial experience with React and/or Node.js, Experience working with microservices architecture, Practical experience with AI development tools, Experience with SQL and/or NoSQL databases, Knowledge of HTTP and REST API, Experience in frontend and/or backend testing, Very good English (min. B2+), Fluent Polish (min. C1) 📃 Skills: JavaScript, TypeScript, React, Node.js, NestJS, SQL, NoSQL, HTTP, REST, Microservices, AI, Testing 🏢 Description: Pracuj nad rozwiązaniami, które zabezpieczają cyfrową tożsamość milionów użytkowników na całym świecie! Dla naszego klienta, międzynarodowej firmy z branży usług informatycznych, poszukujemy Senior Software Engineera , który dołączy do organizacji budującej nowoczesną platformę passwordless authentication, wykorzystywaną na szeroką skalę. Dołączysz do jednego z kilku zespołów odpowiedzialnych za rozwój kluczowych obszarów identity & security, takich jak uwierzytelnianie użytkowników, wykrywanie nadużyć, weryfikacja tożsamości czy orkiestracja procesów bezpieczeństwa. Nie jest to rola utrzymaniowa – zespoły aktywnie rozwijają produkty, tworzą nowe funkcjonalności i pracują nad rozwiązaniami wykorzystywanymi w skali globalnej. Będziesz mieć realny wpływ na decyzje techniczne i architekturę rozwijanych systemów. Lokalizacja: Gdańsk Model pracy: Hybryda (częstotliwość pracy w biurze do ustalenia) Forma zatrudnienia: B2B lub umowa o pracę Wynagrodzenie: B2B: 170 - 190 PLN/h + VAT || UoP: 20.500 - 23.200 PLN brutto Zakres obowiązków: rozwój i współtworzenie systemów w architekturze mikroserwisowej, rozwój backendu - szukamy aktualnie osób specjalizujących się głównie w tym obszarze, projektowanie i implementacja nowych funkcjonalności w obszarze identity & security, udział w projektowaniu architektury systemu oraz podejmowaniu decyzji technicznych, praca nad skalowalnością, wydajnością oraz niezawodnością systemu, integracja pomiędzy różnymi komponentami platformy ( m.in . authentication, risk, identity flows), świadome wykorzystywanie narzędzi AI w codziennej pracy, udział w code review, dbanie o jakość kodu oraz standardy wytwarzania oprogramowania, praca w środowisku międzynarodowym (język angielski na co dzień). Oczekiwania: min. 5 lat doświadczenia komercyjnego jako Fullstack / Backend Developer, praktyczne doświadczenie z Node.js (mile widziany NestJS), bardzo dobra znajomość JavaScript, TypeScript, React, doświadczenie w pracy z architekturą mikroserwisową, praktyczne doświadczenie w pracy z narzędziami AI (np. Claude, Cursor, Juni lub podobne), umiejętność świadomego wykorzystywania AI w codziennej pracy, doświadczenie z bazami danych (SQL i/lub NoSQL), znajomość HTTP, REST API oraz nowoczesnych wzorców komunikacji, wiedza z obszaru testowania aplikacji (frontend i/lub backend), rozumienie działania implementowanych rozwiązań oraz ich konsekwencji architektonicznych, bardzo dobra znajomość języka angielskiego (min. B2+), płynna znajomość języka polskiego (min. C1), umiejętność samodzielnej pracy i branie odpowiedzialności za tworzony produkt, nastawienie na bycie częścią zespołu i otwartość na feedback. Mile widziane: doświadczenie w obszarze security / identity, znajomość OpenID, OAuth, SAML lub podobnych standardów, znajomość chmury (AWS / GCP) oraz narzędzi CI/CD. Oferujemy: realny wpływ na rozwój produktu używanego globalnie przez miliony użytkowników, dużą samodzielność oraz szerokie możliwości rozwoju, pracę w płaskiej strukturze i możliwość proponowania własnych rozwiązań, środowisko nastawione na jakość i konstruktywny feedback, wsparcie przełożonego, program mentoringowy i regularne spotkania 1on1, współpracę w oparciu o kontrakt B2B lub umowę o pracę, elastyczne godziny pracy (start między 7:00 a 10:00), nowoczesny sprzęt (MacBook + urządzenia testowe), integracje zespołowe i warsztaty techniczne, pakiet benefitów (prywatna opieka medyczna, MultiSport, lekcje angielskiego), pracę hybrydową z przewagą pracy zdalnej.