Senior AWS DevOps Consultant (Data Warehouse / Platform Engineering Focus)

🏢 Summary: Senior AWS DevOps Consultant role focused on building, optimizing, and securing AWS-based Data Warehouse infrastructure, particularly Redshift, for a long-term renewable energy project. The position involves automating cloud infrastructure with Terraform, enhancing scalability and cost efficiency, and mentoring internal data teams. Hybrid work model with long-term B2B engagement. 🗂️ Requirements: Minimum 5 years of experience in Cloud Infrastructure, Strong experience with AWS Cloud, Proficiency in Terraform, Experience with multi-account AWS Organizations, Experience with CI/CD pipelines, Hands-on experience with Redshift DWH, Knowledge of data warehousing concepts, Knowledge of data transformation and loading strategies, Experience implementing AWS infrastructure solutions, Ability to optimize cost and performance in AWS, Fluent English, Experience working in Agile environment 📃 Skills: AWS, Terraform, Redshift, CI/CD, AWSOrganizations, DataWarehousing, ETL, Agile 🏢 Description: Industry: renewable energy Work model: full-time, hybrid from Warsaw Center (2 days/week on-site) Project language: English Project length: 6 months contracts + prolongations (long-term project) Start: ASAP Assignment type: B2B Remuneration: up to 190 PLN/h net +VAT Summary: The Senior AWS DevOps Consultant plays a crucial role focusing on enhancing the organization's cloud data capabilities via AWS. This position aims to leverage extensive experience in AWS and Data Warehousing to effectively support and mentor internal data teams. Main Responsibilities: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, enhancing the current design and automation. Ensure security, scalability, and documentation of Redshift DWH. Collaborate with cross-functional teams. Automate and manage AWS infrastructure using Terraform. Act as a technical mentor and share best practices on data architecture. Provide pair-programming sessions to develop AWS skills. Key Requirements: Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS infrastructure solutions. Experience working with Redshift DWH. Foundational knowledge of data warehouse functional areas and data transformation/loading strategies. Ability to establish best practices in cost optimization and performance. Excellent communication and mentoring skills. Fluent English and familiarity with Agile methodologies. Nice to Have: Experience with migration projects. Familiarity with tools like GitHub, GitHub Actions, JFrog, and Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure).

🏢 Summary: Senior AWS DevOps Consultant role focused on building, optimizing, and securing AWS-based Data Warehouse infrastructure in a long-term renewable energy project. The position supports and mentors internal data teams while automating and managing scalable cloud environments. Hybrid work model with B2B contract and English-speaking project environment. 🗂️ Requirements: Minimum 5 years of experience in Cloud Infrastructure, Proficiency with AWS Cloud, Proficiency with Terraform, Experience with multi-account AWS Organizations, Experience with CI/CD pipelines, Experience implementing AWS infrastructure solutions, Experience with Redshift DWH, Knowledge of data warehouse architecture and data transformation/loading strategies, Ability to optimize cost and performance in AWS environments, Fluent English, Experience working in Agile environment 📃 Skills: AWS, Terraform, Redshift, CI/CD, Organizations, Cloud, DataWarehouse, Agile 🏢 Description: Industry: renewable energy Work model: full-time, hybrid from Warsaw Center (2 days/week on-site) Project language: English Project length: 6 months contracts + prolongations (long-term project) Start: ASAP Assignment type: B2B Remuneration: up to 190 PLN/h net +VAT Summary: The Senior AWS DevOps Consultant plays a crucial role focusing on enhancing the organization's cloud data capabilities via AWS. This position aims to leverage extensive experience in AWS and Data Warehousing to effectively support and mentor internal data teams. Main Responsibilities: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, enhancing the current design and automation. Ensure security, scalability, and documentation of Redshift DWH. Collaborate with cross-functional teams. Automate and manage AWS infrastructure using Terraform. Act as a technical mentor and share best practices on data architecture. Provide pair-programming sessions to develop AWS skills. Key Requirements: Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS infrastructure solutions. Experience working with Redshift DWH. Foundational knowledge of data warehouse functional areas and data transformation/loading strategies. Ability to establish best practices in cost optimization and performance. Excellent communication and mentoring skills. Fluent English and familiarity with Agile methodologies. Nice to Have: Experience with migration projects. Familiarity with tools like GitHub, GitHub Actions, JFrog, and Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure).

🏢 Summary: 6-month B2B contract for a Senior AWS DevOps Consultant to design, optimize, and automate AWS-based Data Warehouse infrastructure, with a focus on Redshift and Terraform. The role supports internal data teams by enhancing cloud architecture, ensuring security and scalability, and promoting best practices. Hybrid work model with strong emphasis on AWS infrastructure automation and mentoring. 🗂️ Requirements: Minimum 5 years experience in Cloud Infrastructure, Strong expertise in AWS Cloud, Proficiency in Terraform, Experience with AWS Organizations multi-account setup, Experience with CI/CD pipelines, Experience implementing AWS infrastructure solutions, Knowledge of cost optimization and performance best practices, Experience with AWS Redshift, Fluent English, Experience working in Agile environments 📃 Skills: AWS, Terraform, Redshift, CI/CD, Organizations, GitHub, GitHubActions, JFrog, Python, Azure, DataWarehousing 🏢 Description: Contract : B2B Length : 6 months + possible extensions Hybrid model : 2 days from the Warsaw office, the rest remotely Start : ASAP/Flexible Required standard background check after receiving the offer The Senior AWS DevOps Consultant plays a crucial role, focusing on enhancing the organization's cloud data capabilities via AWS. This position aims to leverage extensive experience in AWS and Data Warehousing to support and mentor internal data teams effectively. Main Responsibilities: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, enhancing the current design and automation. Ensure security, scalability, and documentation of Redshift DWH. Collaborate with cross-functional teams. Automate and manage AWS infrastructure using Terraform. Act as a technical mentor and share best practices on data architecture. Provide pair-programming sessions to develop AWS skills. Key Requirements: Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS infrastructure solutions. Ability to establish best practices in cost optimization and performance. Excellent communication and mentoring skills. Fluent English and familiarity with Agile methodologies. Nice to Have: Experience with migration projects. Expertise in AWS Redshift and other AWS services. Familiarity with tools like GitHub, GitHub Actions, jfrog, and Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure).

🏢 Summary: Hybrid role in Warsaw focused on building and optimizing AWS-based Data Warehouse infrastructure with strong emphasis on Redshift and Terraform. The position involves implementing Infrastructure as Code, improving scalability and security, and mentoring teams in AWS best practices. The role supports internal data platforms in the energy sector within an Agile environment. 🗂️ Requirements: Minimum 5 years experience in Cloud Infrastructure, Hands-on expertise with AWS and Terraform, Experience with multi-account AWS Organizations, Experience with CI/CD pipelines, Proven experience building and optimizing AWS Data Warehouse infrastructure, Strong expertise in Redshift security and performance tuning, Experience implementing Infrastructure as Code, Ability to establish cost optimization and observability best practices, Experience onboarding AWS infrastructure solutions, Fluent English, Experience working in Agile methodologies 📃 Skills: AWS, Terraform, Redshift, S3, Glue, CI/CD, GitHub, GitHubActions, jfrog, Python, Azure, Scrum, Kanban 🏢 Description: Location: Warsaw, Chmielna Work Mode: hybrid – 2 days in the Warsaw office Industry: energy Key expectations: ·       Provide hands-on experience with Terraform and AWS. ·       Develop AWS data warehousing-related infrastructure. ·       Act as a mentor for internal teams. ·       Communicate effectively to support team learning and collaboration. Team 6 members with senior DWH expertise. Background in Azure DWH, Redshift, and data engineering. Uses Scrum with Kanban as the primary way of working. Day-to-day responsibilities Data Warehouse Infrastructure Implementation: Support the team in building infrastructure for Data Warehouse solutions for a growing internal client base. Optimize the existing setup, including enhancing current design and delivery of automation. Ensure the Redshift DWH is secure, scalable, and well-documented. Collaborate with cross-functional teams. Infrastructure as Code (IaC): Use Terraform to automate and manage AWS infrastructure. Ensure solutions are robust, maintainable, and efficiently deployed. Mentorship & Team Development: Act as a technical mentor. Share best practices on data architecture. Provide pair-programming sessions. Support teams as they grow their AWS skillset. Requirements Deep hands-on expertise with AWS and Terraform for IaC across multi-account AWS Organizations, including CI/CD. Proven experience building and optimizing AWS Data Warehouse infrastructure (with strong Redshift focus: security, performance, data loading, optimization). Ability to establish best practices in cost optimization, observability, and performance for data workloads. Must-have Minimum 5 years of experience in Cloud Infrastructure. Proficiency with Terraform, AWS Cloud, multi-account AWS Organizations, and CI/CD. Experience implementing AWS solutions-related infrastructure and onboarding new customers to the landscape. Ability to guide and implement best practices in cost optimization, observability setup, and performance. Excellent communication and mentoring skills; ability to explain technical matters to business stakeholders. Fluent English and familiarity with Agile methodologies. Nice-to-have Experience with migration projects. Expertise with: AWS Redshift (security, performance, data loading, optimization). AWS services (e.g., S3, Glue). Familiarity with tools: GitHub, GitHub Actions, jfrog, Python. Knowledge of data governance or security aspects. Experience in multi-cloud environments (AWS + Azure). We Offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sound familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our goal is to provide you with stable and comfortable cooperation, contributing to your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience in creating IT solutions for over 200 organizations.

🏢 Summary: Senior AWS DevOps / Platform Engineer role in a scalable fintech environment focused on AWS cloud infrastructure, CI/CD modernization, and production reliability. The position involves building and maintaining cloud-native platforms, automating infrastructure, and ensuring high availability and security of mission-critical systems. The engineer will work with global teams to drive SRE practices and continuous delivery excellence. 🗂️ Requirements: 7+ years of DevOps / Platform Engineering / SRE experience, Strong hands-on experience with AWS and networking, Strong experience with Kubernetes (EKS preferred), Strong experience with Docker, Experience building and maintaining CI/CD pipelines, Strong experience with Terraform, Experience with monitoring and observability tools, Experience supporting production environments, Experience with incident response and troubleshooting, Proficiency in Python and/or Bash, Understanding of distributed systems and microservices architectures, Knowledge of high availability systems 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, ARM, Jenkins, GitLab, Azure, GitHub, Python, Bash, Prometheus, Grafana, ELK, OpenSearch, Datadog, CloudWatch, ArgoCD, Linux 🏢 Description: 🚀 Senior AWS DevOps / Platform Engineer 📍 Remote (Poland) | Occasional visits to Warsaw 💰 Rate: up to 1,500 PLN/day We are looking for an experienced Senior AWS DevOps Engineer to join a highly scalable fintech environment. The role combines platform engineering, CI/CD modernization, cloud infrastructure, and production reliability , working closely with global engineering teams. You will support and evolve mission-critical systems used across international business units, ensuring high availability, security, and continuous delivery excellence. 💡 Your Mission ☁️ Cloud & Platform Engineering Design, build, and maintain scalable AWS-based infrastructure. Ensure high availability, resilience, and performance of distributed systems. Work with modern cloud-native architectures and microservices platforms. ⚙️ CI/CD & Automation Build and maintain CI/CD pipelines using: Jenkins GitLab CI Azure DevOps GitHub Actions Migrate and improve legacy deployment pipelines. Implement GitOps and automation best practices. 🧱 Infrastructure as Code Provision and manage infrastructure using: Terraform CloudFormation ARM templates (where applicable) Standardize infrastructure provisioning across environments. 📦 Containers & Orchestration Deploy and manage containerized workloads using Docker. Work with Kubernetes (EKS preferred). Support scaling, rollout strategies, and cluster optimization. 📊 Monitoring & Observability Implement monitoring and alerting solutions using: Prometheus Grafana ELK / OpenSearch Datadog CloudWatch Improve system visibility and proactive incident detection. 🚨 Production Support (SRE mindset) Support production environments and ensure system stability. Participate in incident management and root cause analysis. Improve MTTR and system reliability through automation. Drive SRE practices (SLI / SLO / SLA). 🔐 Security & Compliance Apply security best practices in cloud environments. Support secrets management, encryption, and access control. Work in a regulated fintech environment (compliance-aware engineering). 🎯 Must-Have Skills ✔️ 7+ years of experience in DevOps / Platform Engineering / SRE ✔️ Strong hands-on experience with: AWS (core services + networking) Kubernetes (preferably EKS) Docker ✔️ CI/CD tooling: Jenkins / GitLab CI / Azure DevOps / GitHub Actions ✔️ Infrastructure as Code: Terraform (must-have) CloudFormation or ARM templates (nice to have) ✔️ Scripting: Python and/or Bash ✔️ Strong experience with: Monitoring & observability tools Production support environments Incident response & troubleshooting ✔️ Understanding of: Distributed systems Microservices architectures High availability systems ⭐ Nice to Have Experience in fintech, banking or payment systems GitOps (ArgoCD or similar) Linux administration Security tooling (OWASP, scanning, secrets management) Experience with Java-based systems Cloud certifications (AWS / Azure) 🎁 What You’ll Get ✨ Work on large-scale fintech platforms with global reach ✨ Strong engineering culture focused on automation & reliability ✨ Exposure to modern AWS + Kubernetes ecosystems ✨ Real impact on CI/CD and platform architecture ✨ Hybrid/remote flexibility (Poland-based) ✨ Long-term stable project environment ✨ Opportunity to work with experienced DevOps & SRE teams 🚀 Ready to build and scale cloud platforms that power global fintech systems? Join us and help shape a modern AWS-driven DevOps & platform engineering environment focused on automation, reliability, and continuous delivery.

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.

🏢 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: Full-time Data Engineer role focused on building and maintaining scalable, cloud-based data platforms for large-scale analytics. The position involves developing end-to-end data pipelines and collaborating with researchers and data professionals to enable data exploration and insight generation. 🗂️ Requirements: 3+ years experience in Data Engineering or similar role, Strong Python skills, Experience with Spark or Scala, Experience with big data technologies, Ability to design scalable data solutions 📃 Skills: Python, Spark, Scala, Cloud, ETL, BigData, GraphDB 🏢 Description: Role Title: Data Engineer Location: Warsaw, hybrid Contract Type: Umowa o Pracę - full time employment 25000-36000 zl gross/month - negotiable (depending on years of experience) A growing research-focused team is looking for a Data Engineer to build and support data platforms that help professionals extract insights from large, complex datasets. This role involves working closely with researchers, analysts, and data scientists to design scalable data solutions. What you’ll do Build and maintain end-to-end data pipelines (ingestion, transformation, delivery) Develop cloud-based data infrastructure for large-scale analytics Work with teams to enable data exploration and visualization Evaluate and prototype new big data technologies Requirements 3+ years experience in Data Engineering or similar role Strong Python development skills Experience with Spark or Scala Interest or experience in big data technologies Ability to design innovative solutions to data challenges Nice to have • Experience with graph databases