Database Engineer

🏢 Summary: Database Engineer role focused on building and scaling structured and unstructured database platforms that power distributed systems, data-intensive applications, and machine learning infrastructure. The position involves designing, optimizing, and securing high-availability database systems in cloud environments while collaborating across engineering and security teams. The engineer will own database services, improve reliability and scalability, and support large-scale data processing workloads. 🗂️ Requirements: 5+ years experience as a database engineer, Experience with real-time distributed systems architecture, Experience designing and self-hosting databases on public cloud platforms, Deep knowledge of database design, architecture, optimization, and tuning, Strong SQL query optimization and indexing skills, Experience with partitioning, sharding, and replication, Experience implementing backup and restore strategies meeting RTO goals, Proficiency in at least one programming language: Typescript, Python, Go, Java, or C++, Experience with containerization and Infrastructure-as-Code tools 📃 Skills: MongoDB, Postgres, MySQL, DynamoDB, Redis, SQL, Typescript, Python, Go, Java, C++, Docker, Kubernetes, Terraform, AWS, Datadog, ElasticSearch, Snowflake, Databricks 🏢 Description: Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: Build and mature database foundations for Scale, leveraging industry-standard platforms. Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Mentor other engineers and become deeply involved in architectural design and database best-practices. Improve our high engineering standards, tooling, and process. Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs. Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale. Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: 5+ years of industry experience as a database engineer post graduation. Engineering experience with building real-time and distributed system architecture. Experience designing and self hosting databases on industry standard public cloud platforms Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication Experience developing and optimizing backup and restore functionality to meet RTO goals Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand). Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: Prior startup experience to help us grow responsibly. Experience with AWS, Datadog, ElasticSearch Experience with cloud-based data warehouse solutions like Snowflake or Databricks. Experience with cost optimization strategies and techniques for database platforms. Experience developing and designing intermediary data abstraction layers. Mentored and grown members of your team or been a tech lead on large projects. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$162,400—$203,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

🏢 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: Scala/Spark Developer role focused on building and optimizing scalable data processing applications and distributed systems using modern big data technologies. The position involves developing ETL/ELT pipelines, improving Spark performance, and collaborating on international AI and data engineering projects. The offer includes flexible working conditions, private healthcare, training opportunities, and a B2B salary range of 28,500–30,000 PLN + VAT. 🗂️ Requirements: Commercial experience with Scala in production environments, Knowledge of functional programming concepts in Scala, Experience with Scala type system, collections, sbt, and testing frameworks, Hands-on experience with Apache Spark, Experience with Spark SQL and DataFrame/Dataset API, Experience designing and maintaining ETL/ELT pipelines, Knowledge of Spark performance optimization techniques, Experience troubleshooting Spark applications using Spark UI, Experience with large-scale distributed data processing, Understanding of software engineering best practices and code quality 📃 Skills: Scala, Spark, SparkSQL, DataFrame, Dataset, ETL, ELT, sbt, ScalaTest, munit, SparkUI, Kafka, Airflow, AWS, EMR, S3, Glue, Azure, GCP, Dataproc, Databricks, Hadoop, Hive, DeltaLake, Parquet, Avro, SQL, Docker, Kubernetes, Git, CI/CD, Cats, ZIO, Akka, Pekko, Python, Java 🏢 Description: Scala/Spark Developer We are looking for a Scala/Spark Developer to join an AI-first software engineering company delivering innovative AI, data, cloud, and IoT solutions for clients across Europe and beyond. As part of the engineering team, you will design, develop, and optimize scalable data processing solutions, build high-performance distributed systems, and work with modern big data technologies on challenging international projects. Responsibilities Design, develop, and maintain scalable data processing applications using Scala and Apache Spark; Build, optimize, and maintain ETL/ELT pipelines processing large volumes of data; Develop efficient Spark applications using Spark SQL and the DataFrame/Dataset API; Optimize Spark jobs by improving partitioning strategies, shuffle operations, caching, and join performance; Troubleshoot and resolve performance issues using Spark UI and monitoring tools; Collaborate with data engineers, software developers, and stakeholders to design scalable data processing solutions; Participate in code reviews and contribute to software quality, performance, and engineering best practices. Requirements Strong commercial experience developing production applications in Scala, including functional programming concepts (immutability, pattern matching, higher-order functions), Scala type system, collections, sbt, and testing frameworks such as ScalaTest or munit, with the ability to write clean, maintainable, production-quality code; Proven hands-on experience with Apache Spark, including Spark SQL, DataFrame/Dataset API, designing and maintaining ETL/ELT pipelines, performance optimization (partitioning, shuffle optimization, broadcast joins, caching), and troubleshooting using Spark UI; Experience working in production environments with large-scale data processing and distributed data pipelines; Strong understanding of software engineering best practices, code quality, performance optimization, and maintainability. Nice to have Experience with Kafka and Spark Structured Streaming; Experience with Airflow or similar workflow orchestration tools; Experience with cloud platforms such as AWS (EMR, S3, Glue), Azure, GCP (Dataproc), or Databricks; Knowledge of the big data ecosystem, including Hadoop, Hive, Delta Lake, Parquet, and Avro; Experience with SQL, data modeling, data warehouses, and data lake architectures; Experience with Docker, Kubernetes, Git, and CI/CD pipelines; Familiarity with Scala libraries such as Cats, ZIO, Akka, or Pekko; Knowledge of Python or Java.

🏢 Summary: Backend .NET Developer role focused on developing, maintaining and modernizing banking applications used by millions of users. The position involves building and integrating APIs, working with MS SQL databases, and contributing to microservices architecture in an Agile environment. Hybrid work model with B2B contract up to 115 PLN/h. 🗂️ Requirements: Minimum 3 years commercial experience with .NET Core and .NET Framework, Very good knowledge of T-SQL and MS SQL databases, Experience in building and integrating Web API, WCF, Web Services, Strong object-oriented programming and design principles knowledge, Experience with GIT version control, Proficiency in Visual Studio 2022 and SQL Server Management Studio, Experience working in Agile/Scrum, Ability to analyze complex systems, English for reading technical documentation 📃 Skills: .NET, ASP.NET, T-SQL, MSSQL, WebAPI, WCF, Git, VisualStudio, SSMS, Microservices, Agile, Scrum 🏢 Description: W Scalo zajmujemy się dostarczaniem projektów software'owych i wspieraniem naszych partnerów w rozwijaniu ich biznesu. Tworzymy oprogramowanie, które umożliwia ludziom dokonywanie zmian, działanie w szybszym tempie oraz osiąganie lepszych rezultatów. Jesteśmy firmą, która wykorzystuje szerokie spektrum usług IT, żeby pomagać klientom. Obszary naszego działania to m.in.: doradztwo technologiczne, tworzenie oprogramowania, systemy wbudowane, rozwiązania chmurowe, zarządzanie danymi, dedykowane zespoły developerskie. Cześć! U nas znajdziesz to, czego szukasz - przekonaj się! W Scalo czeka na Ciebie: Rozwój, utrzymanie i modernizacja aplikacji backendowych w technologii .NET, Projektowanie oraz implementacja usług i API (Web API, WCF, Web Services), Praca z relacyjnymi bazami danych MS SQL (tworzenie zapytań, procedur składowanych, optymalizacja), Analiza istniejących systemów oraz ich integracja z innymi komponentami, Współpraca z zespołami developerskimi, testerskimi oraz biznesowymi, Udział w projektowaniu rozwiązań w architekturze mikroserwisowej, Rozwijanie i utrzymywanie wysokiej jakości kodu zgodnie z dobrymi praktykami, Praca w metodykach zwinnych (Agile/Scrum), Korzystanie z narzędzi takich jak Visual Studio 2022, SQL Server Management Studio oraz GIT, Wsparcie procesów wdrożeniowych oraz rozwoju systemów wykorzystywanych przez miliony użytkowników w środowisku bankowym Praca hybrydowa (Toruń lub Warszawa - raz w tygodniu z biura) Stawka: do 115 zł netto + VAT/H/B2B Ta oferta jest dla Ciebie, jeśli: Masz minimum 3 lata doświadczenia komercyjnego w pracy z .NET Core oraz .NET Framework, Bardzo dobrze znasz Transact-SQL i pracę z bazami MS SQL, Swobodnie poruszasz się w Visual Studio 2022 oraz SQL Server Management Studio, Masz doświadczenie w tworzeniu i integracji usług (Web API, WCF, Web Services), Programujesz obiektowo i rozumiesz dobre praktyki projektowe, Pracujesz z systemem kontroli wersji GIT, Potrafisz analizować złożone systemy i szybko przyswajać nową wiedzę, Znasz język angielski na poziomie umożliwiającym czytanie dokumentacji technicznej, Dobrze odnajdujesz się w pracy w metodykach zwinnych (Agile/Scrum). Co dla Ciebie mamy? Stabilną współpracę i różnorodne projekty (Software, Embedded, Data, Cloud Services), możliwość rozwoju kompetencji jako Ambasador Scalo - doskonal skille techniczne i presalesowe w społeczności naszych ekspertów, wpływaj na rozwój organizacji, wspieraj innych, przestrzeń do budowania marki osobistej - twórz wartościowe treści, dziel się wiedzą i doświadczeniem, występuj jako prelegent na wydarzeniach (np. ProMeet), prywatną opiekę medyczną - Luxmed, kafeteryjny system benefitów - Motivizer, dostęp do karty Multisport, program poleceń pracowniczych z nagrodami, integracje i wydarzenia firmowe. Stos technologiczny - wpisz 3 lub 4 główne technologie oddzielając je przecinkiem np: Java, AWS, Spring, Hibernate ASP.NET, T-SQL, .NET CORE, MS SQL Doświadczenie - wpisz Junior lub Regular lub Senior lub Expert Regular Wynagrodzenie - wpisz górną granicę widełek np. do 150 PLN/h (B2B) do 115 PLN/h (B2B) Tryb pracy - wpisz: Zdalna lub Hybrydowa lub Stacjonarna Hybrydowa Zobacz jak do nas dołączyć:

🏢 Summary: Role in a financial and insurance sector project focused on business and system analysis, including requirements gathering, process modeling, and documentation. The position involves close cooperation with stakeholders and support for testing and system maintenance in an Agile/Scrum environment. Work is based on SQL-driven data analysis and modeling tools in a hybrid setup. 🗂️ Requirements: Minimum 3–5 years experience as System Analyst or Business-System Analyst, Experience in gathering and documenting business and system requirements, Practical knowledge of UML and BPMN, Experience with databases and SQL, Experience with JIRA and Enterprise Architect or similar tools, Experience working in Agile/Scrum, English proficiency at minimum B2 level 📃 Skills: SQL, MSSQL, Oracle, DBeaver, UML, BPMN, JIRA, EnterpriseArchitect, Scrum, Agile 🏢 Description: W Scalo zajmujemy się dostarczaniem projektów software'owych i wspieraniem naszych partnerów w rozwijaniu ich biznesu. Tworzymy oprogramowanie, które umożliwia ludziom dokonywanie zmian, działanie w szybszym tempie oraz osiąganie lepszych rezultatów. Jesteśmy firmą, która wykorzystuje szerokie spektrum usług IT, żeby pomagać klientom. Obszary naszego działania to m.in.: doradztwo technologiczne, tworzenie oprogramowania, systemy wbudowane, rozwiązania chmurowe, zarządzanie danymi, dedykowane zespoły developerskie. Cześć! U nas znajdziesz to, czego szukasz - przekonaj się! W Scalo czeka na Ciebie: dział w projekcie dla sektora finansowego i ubezpieczeniowego, zbieranie i analiza wymagań biznesowych oraz systemowych, modelowanie procesów biznesowych z wykorzystaniem BPMN i UML, przygotowywanie dokumentacji projektowej oraz przypadków użycia, współpraca z interesariuszami: biznesem, deweloperami i testerami, przygotowywanie danych testowych oraz wsparcie testów, analiza błędów oraz wsparcie utrzymania i rozwoju systemów, praca w środowisku Agile/Scrum, wykorzystywany stack: SQL, MS SQL Server, Oracle SQL Developer, DBeaver, Enterprise Architect, JIRA, praca w modelu hybrydowym, 2x w tygodniu z biura w Warszawie, stawka do 135 PLN/h przy B2B w zależności od doświadczenia. Ta oferta jest dla Ciebie, jeśli: masz minimum 3–5 lat doświadczenia jako analityk systemowy lub biznesowo-systemowy, potrafisz zbierać i analizować wymagania biznesowe oraz je dokumentować, znasz notacje UML i BPMN oraz potrafisz je stosować w praktyce, posiadasz doświadczenie w pracy z bazami danych i SQL, znasz narzędzia takie jak JIRA, Enterprise Architect lub podobne, masz doświadczenie w pracy w metodykach zwinnych (Scrum/Agile), potrafisz współpracować z różnymi zespołami i interesariuszami, jesteś samodzielna/y i dobrze organizujesz swoją pracę, komunikujesz się w języku angielskim na poziomie min. B2. Co dla Ciebie mamy? Stabilną współpracę i różnorodne projekty (Software, Embedded, Data, Cloud Services), możliwość rozwoju kompetencji jako Ambasador Scalo - doskonal skille techniczne i presalesowe w społeczności naszych ekspertów, wpływaj na rozwój organizacji, wspieraj innych, przestrzeń do budowania marki osobistej - twórz wartościowe treści, dziel się wiedzą i doświadczeniem, występuj jako prelegent na wydarzeniach (np. ProMeet), prywatną opiekę medyczną - Luxmed, kafeteryjny system benefitów - Motivizer, dostęp do karty Multisport, program poleceń pracowniczych z nagrodami, integracje i wydarzenia firmowe.

🏢 Summary: Development of a modern SaaS platform in the cloud contact center and customer communication domain, focused on building scalable backend systems in Scala. The role involves designing distributed, cloud-native architectures and delivering high-availability, high-performance solutions with real impact on product and architectural decisions. Fully remote position with collaboration in an international R&D environment. 🗂️ Requirements: Minimum 4.5 years of experience in similar role, Experience in designing and developing backend systems, Experience with distributed systems, Strong understanding of cloud-native architecture, Experience with scalable SaaS environments, Experience building high-availability and high-performance systems, Ability to design technical solutions independently, English proficiency at minimum B2+ 📃 Skills: Scala, SaaS, Cloud, DistributedSystems, Backend, CloudNative, AI, Automation 🏢 Description: W Scalo zajmujemy się dostarczaniem projektów software'owych i wspieraniem naszych partnerów w rozwijaniu ich biznesu. Tworzymy oprogramowanie, które umożliwia ludziom dokonywanie zmian, działanie w szybszym tempie oraz osiąganie lepszych rezultatów. Jesteśmy firmą, która wykorzystuje szerokie spektrum usług IT, żeby pomagać klientom. Obszary naszego działania to m.in . doradztwo technologiczne, tworzenie oprogramowania, systemy wbudowane, rozwiązania chmurowe, zarządzanie danymi, dedykowane zespoły developerskie. Cześć! U nas znajdziesz to, czego szukasz - przekonaj się! W Scalo czeka na Ciebie: udział w rozwoju nowoczesnej platformy SaaS z obszaru cloud contact center i customer communication, projektowanie oraz rozwój skalowalnych systemów backendowych w Scali, praca nad architekturą distributed systems w środowisku cloud-native, realny wpływ na rozwój produktu oraz decyzje architektoniczne, tworzenie wydajnych, niezawodnych i skalowalnych rozwiązań backendowych, współpraca z międzynarodowym zespołem R&D w środowisku anglojęzycznym, udział w rozwoju nowoczesnych usług oraz automatyzacji procesów, możliwość zaangażowania się w inicjatywy związane z AI i automation, praca w modelu 100% zdalnym, stawka: 165 zł/h + VAT (zależnie od posiadanego doświadczenia). Ta oferta jest dla Ciebie, jeśli: posiadasz min. 4,5 roku doświadczenia na podobnej pozycji, masz doświadczenie w projektowaniu i rozwijaniu systemów backendowych oraz distributed systems, dobrze rozumiesz architekturę cloud-native oraz skalowalne środowiska SaaS, pracowałeś przy nowoczesnych systemach backendowych o wysokiej dostępności i wydajności, potrafisz samodzielnie projektować rozwiązania oraz rozwiązywać problemy techniczne, dobrze odnajdujesz się w środowisku produktowym i współpracy z zespołami R&D, interesujesz się nowoczesnymi technologiami oraz rozwojem obszaru AI/automation (mile widziane), swobodnie komunikujesz się w języku angielskim (min. B2+), cenisz sobie współpracę, wymianę wiedzy oraz wysokie standardy inżynierskie. Co dla Ciebie mamy? Stabilną współpracę i różnorodne projekty (Software, Embedded, Data, Cloud Services), możliwość rozwoju kompetencji jako Ambasador Scalo - doskonal skille techniczne i presalesowe w społeczności naszych ekspertów, wpływaj na rozwój organizacji, wspieraj innych, przestrzeń do budowania marki osobistej - twórz wartościowe treści, dziel się wiedzą i doświadczeniem, występuj jako prelegent na wydarzeniach (np. ProMeet), prywatną opiekę medyczną - Luxmed, kafeteryjny system benefitów - Motivizer, dostęp do karty Multisport, program poleceń pracowniczych z nagrodami, integracje i wydarzenia firmowe.

🏢 Summary: Senior Data-oriented SRE to design, build and operate a scalable data platform and core infrastructure for large-scale data processing in a cloud environment. The role focuses on developing distributed systems, ETL frameworks and production-grade services rather than individual pipelines. Long-term B2B contract, fully remote with NYC time zone overlap. 🗂️ Requirements: Senior experience in Data Platform Engineering or SRE, Strong software engineering skills with Python, Experience building ETL and stream processing frameworks, Hands-on experience with Kafka, Spark or Flink, Strong SQL knowledge and experience with relational or analytical databases, Production experience with AWS or GCP, Experience with Kubernetes and Linux in production, Experience managing large-scale distributed systems, Strong DevOps and automation skills 📃 Skills: Python, AWS, GCP, Kafka, Spark, Flink, Airflow, Prefect, SQL, MySQL, PostgreSQL, SQLServer, Snowflake, Redshift, Presto, Kubernetes, Linux, S3, GCS, EC2, GCE, IAM, Docker, ETL, DevOps 🏢 Description: 📍 Work mode: 100% Remote in NYC time zone (at least 5/6 hours of overlap with NYC) 🕒 Contract type: B2B 💼 Experience level: Senior 💰 Rate: 40-65 $ net + VAT / hour ⏳ Start date: ideally ASAP 📆 Project length: Long-term cooperation About the role: We are looking for a Data-oriented SRE to help build and operate the core infrastructure that powers our data ecosystem. This role focuses on building tools, services and frameworks for data engineers and data scientists , rather than developing individual ETL pipelines. You will work on the platform layer of the data stack , designing and maintaining distributed systems, data processing frameworks and the infrastructure that enables large-scale data processing. Job responsibilities: Build and run data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, Spark, databases and containers Develop data platform based on open source software and Cloud services Build and run ETL tools and frameworks to onboard data into the platform, define schema, build DAG processing pipelines and monitor data quality. Help develop machine learning development framework and pipelines Manage and run mission crucial production services. Skills: Experience as Data Platform Engineering or SRE Strong software engineering experience and working with Python. Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect, etc. Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc. Experience with using AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.), Kubernetes and Linux in production. Strong proclivity for automation and DevOps practices Experience with managing increasing data volume, velocity and variety Agile, self-starter and is focused on getting things done. Strong communicator Nice to have: Familiarity with data science stack: e.g. Jupyter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc. Financial Services experience

🏢 Summary: Oferta dotyczy pracy przy budowie i rozwoju platformy danych oraz nowoczesnych hurtowni danych z wykorzystaniem technologii chmurowych i narzędzi ETL/ELT. Rola obejmuje projektowanie pipeline’ów danych, rozwój Data Lake i Data Warehouse, optymalizację baz danych oraz wsparcie procesów wdrożeniowych i utrzymaniowych. Praca odbywa się w modelu hybrydowym z biura w Warszawie raz w tygodniu. 🗂️ Requirements: Doświadczenie w projektowaniu i budowie nowoczesnych hurtowni danych, Doświadczenie w budowie pipeline’ów ETL/ELT, Bardzo dobra znajomość Oracle, Bardzo dobra znajomość PostgreSQL, Znajomość Google BigQuery, Doświadczenie z Informatica PowerCenter, Znajomość technologii event-driven, Swobodna praca w środowisku Linux, Doświadczenie w Pythonie 📃 Skills: Oracle, PostgreSQL, BigQuery, Informatica, Kafka, PubSub, Python, GCP, Linux, ETL, ELT 🏢 Description: W Scalo zajmujemy się dostarczaniem projektów software'owych i wspieraniem naszych partnerów w rozwijaniu ich biznesu. Tworzymy oprogramowanie, które umożliwia ludziom dokonywanie zmian, działanie w szybszym tempie oraz osiąganie lepszych rezultatów. Jesteśmy firmą, która wykorzystuje szerokie spektrum usług IT, żeby pomagać klientom. Obszary naszego działania to m.in.: doradztwo technologiczne, tworzenie oprogramowania, systemy wbudowane, rozwiązania chmurowe, zarządzanie danymi, dedykowane zespoły developerskie. Cześć! U nas znajdziesz to, czego szukasz - przekonaj się! W Scalo czeka na Ciebie: uczestnictwo w projekcie związanym z budową i rozwojem platformy danych (Data Lake / Data Warehouse) z wykorzystaniem technologii takich jak Oracle, PostgreSQL, Google BigQuery, Informatica PowerCenter, Kafka, Pub/Sub, Python oraz narzędzi chmurowych GCP, praca w zespole data / data platform odpowiedzialnym za rozwój i utrzymanie procesów zasilania danych oraz architektury przetwarzania danych, zadania obejmujące m.in.: projektowanie i rozwój pipeline’ów ETL/ELT, budowę i rozwój hurtowni danych oraz Data Lake, analizę danych, modelowanie logiczne i fizyczne, optymalizację zapytań SQL, tworzenie procesów przetwarzania danych on-line i off-line, wsparcie testów oraz wdrożeń, a także rozwiązywanie incydentów i problemów produkcyjnych, praca w modelu hybrydowym: 1 raz w tygodniu praca z biura w Warszawie, stawka do 150 zł/h przy B2B w zależności od doświadczenia. Ta oferta jest dla Ciebie, jeśli: posiadasz doświadczenie w projektowaniu i budowie nowoczesnych hurtowni danych, masz doświadczenie w budowie pipeline’ów ETL/ELT, bardzo dobrze znasz relacyjne bazy danych Oracle oraz PostgreSQL (projektowanie, budowa i tuning baz danych), znasz Google BigQuery, posiadasz doświadczenie z Informatica PowerCenter, znasz technologie wykorzystywane w architekturze event-driven (np. Kafka, Pub/Sub), pracujesz swobodnie w środowisku Linux, pracujesz w Pythonie, mile widziane doświadczenie z Apache Airflow, Rust, Apache Spark. Co dla Ciebie mamy? Stabilną współpracę i różnorodne projekty (Software, Embedded, Data, Cloud Services), możliwość rozwoju kompetencji jako Ambasador Scalo - doskonal skille techniczne i presalesowe w społeczności naszych ekspertów, wpływaj na rozwój organizacji, wspieraj innych, przestrzeń do budowania marki osobistej - twórz wartościowe treści, dziel się wiedzą i doświadczeniem, występuj jako prelegent na wydarzeniach (np. ProMeet), prywatną opiekę medyczną - Luxmed, kafeteryjny system benefitów - Motivizer, dostęp do karty Multisport, program poleceń pracowniczych z nagrodami, integracje i wydarzenia firmowe.