Senior Data Platform Engineer

🏢 Summary: Mid-level Data Platform Engineer role focused on designing and maintaining scalable, reliable data platforms and pipelines supporting large-scale public health and food security systems. The position involves architectural decision-making across batch and streaming systems, strong software engineering practices, and collaboration in a hybrid Warsaw-based environment. 🗂️ Requirements: Experience designing and maintaining ETL/ELT data pipelines, Understanding of data pipeline reliability (idempotency, backfills, late/corrected data), Ability to structure data systems into layered architectures (raw, cleaned, curated), Experience choosing between batch, micro-batch, and streaming architectures, Strong software engineering fundamentals and version control, Ability to design logical software architectures, Experience working on UNIX-based or OSX systems, Professional proficiency in English (C1 or higher), Full-time availability in Warsaw with hybrid work model 📃 Skills: ETL, ELT, Python, Django, DBT, Dagster, Luigi, Clickhouse, Docker, Terraform, Kubernetes, Nix, SQL, OLAP, UNIX, Git 🏢 Description: QED ( https://qed.ai ) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV/malaria/TB, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations, including the Global Fund, Gates Foundation, and the CDC. We are looking for a mid Data Platform Engineer to join our team in Warsaw. Desired skills include: experience designing and maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data ability to structure data systems into clear layers (e.g. raw, cleaned, curated) and reason about their different purposes and guarantees experience deciding between batch, micro-batch, and streaming approaches based on latency, correctness, and operational complexity strong background in software engineering, version control, writing readable code and tests, robust design, and basic data structures and algorithms ability to conceive logical software architectures and express yourself clearly, both verbally and in writing willingness to tackle a wide array of problems and technologies willingness to participate in regular design sessions, code reviews, and working in teams development primarily on UNIX-based or OSX-Darwin platforms working proficiency (≥C1) in speaking, reading, and typing English (≥45 words per minute) willingness and interest in working with people from other cultures emotional resilience and social intelligence and you have to care about the work that you do and you have to be optimistic at least sometimes, although pessimism tends to be useful Below are additional skills that are a bonus, but are not required: understanding of analytical data modeling concepts, including how to transform raw data into analytics-ready datasets and define clear data semantics for downstream consumers experience with Python, Django, DBT, Dagster, Luigi or Clickhouse experience with containerization (Docker), Terraform, Kubernetes or Nix knowledge and experience with data warehousing, online analytical processing, metadata management, dimensional modeling, and relational database theory experience with programming and/or math competitions product-oriented mindset willingness to go on an adventure domain knowledge and/or interest in the sustainable development goals, particularly in public health, agriculture, and assisting developing countries What can you expect: unusual, socially conscious projects significant ownership a mix of product, internal platform, and client integration work ability and encouragement to explore technologies other than your main expertise optional travel to learn more about problems we're trying to solve Requires a full-time commitment physically based in Warsaw, Poland, with a hybrid of remote and in-person work throughout the week . We expect at least 2-3 days per week in the office. The working hours are flexible, for example you do not need approval to take out a small chunk in the middle of the day to handle some personal business.

🏢 Summary: Senior Software Engineer role focused on building and scaling digital infrastructure and AI systems for public health and food security projects. The position involves designing robust architectures, writing high-quality code and tests, and contributing across product, platform, and client integration work. Full-time hybrid role based in Warsaw with significant ownership and technical impact. 🗂️ Requirements: 5+ years of software engineering experience, Strong software engineering fundamentals, Proficiency in version control, Ability to write readable, well-tested code, Knowledge of data structures and algorithms, Experience designing robust software architectures, Experience working on UNIX-based or OSX systems, Ability to participate in design sessions and code reviews, Working proficiency in English (C1 or higher), Full-time availability in Warsaw with hybrid on-site presence (2–3 days per week) 📃 Skills: Git, UNIX, OSX, Python, Django, React, Android, PyTorch, Algorithms, DataStructures, Testing, Architecture 🏢 Description: QED ( https://qed.ai ) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV and malaria, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations, including the Global Fund, Gates Foundation, CDC, and USAID. We are looking for a senior software engineer to join our team in Warsaw. Desired skills include: strong background in software engineering, version control, writing readable code and tests, robust design, and basic data structures and algorithms at least 5 years of experience ability to conceive logical software architectures and express yourself clearly, both verbally and in writing willingness to tackle a wide array of problems and technologies willingness to participate in regular design sessions, code reviews, and working in teams development primarily on UNIX-based or OSX-Darwin platforms working proficiency (≥C1) in speaking, reading, and typing English (≥45 words per minute) willingness and interest in working with people from other cultures emotional resilience and social intelligence and you have to care about the work that you do and you have to be optimistic at least sometimes, although pessimism tends to be useful Below are additional skills that are a bonus, but are not required: experience with Python, Django, React, Android, or PyTorch experience with computer hardware, electronics, or physics experience with programming and/or math competitions product oriented mindset willingness to go on an adventure domain knowledge and/or interest in the sustainable development goals, particularly in public health, agriculture, and assisting developing countries What can you expect: unusual, socially conscious projects little bureaucracy significant ownership a mix of product, internal platform, and client integration work ability and encouragement to explore technologies other than your main expertise optional travel to learn more about problems we're trying to solve Requires a full-time commitment physically based in Warsaw, Poland, with a hybrid of remote and in-person work throughout the week. We expect at least 2-3 days per week in the office. The working hours are flexible, for example you do not need approval to take out a small chunk in the middle of the day to handle some personal business.

🏢 Summary: Mid Software Engineer role focused on building and maintaining digital infrastructure and AI systems for large-scale public health and food security projects. The position involves designing robust architectures, writing high-quality tested code, and contributing to product, platform, and integration work. Full-time hybrid role based in Warsaw with significant ownership and exposure to diverse technical challenges. 🗂️ Requirements: Strong software engineering background, Proficiency with version control systems, Ability to write readable, well-tested code, Knowledge of robust software design principles, Understanding of data structures and algorithms, Ability to design logical software architectures, Experience developing on UNIX-based or OSX systems, English proficiency at C1 level or higher, Full-time availability in Warsaw with hybrid on-site presence (2–3 days per week) 📃 Skills: Git, UNIX, OSX, Algorithms, DataStructures, Testing, Architecture, Python, Django, React, Android, PyTorch 🏢 Description: QED ( https://qed.ai ) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV and malaria, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations, including the Global Fund, Gates Foundation, CDC, and USAID. We are looking for a mid software engineer to join our team in Warsaw. Desired skills include: strong background in software engineering, version control, writing readable code and tests, robust design, and basic data structures and algorithms ability to conceive logical software architectures and express yourself clearly, both verbally and in writing willingness to tackle a wide array of problems and technologies willingness to participate in regular design sessions, code reviews, and working in teams development primarily on UNIX-based or OSX-Darwin platforms working proficiency (≥C1) in speaking, reading, and typing English (≥45 words per minute) willingness and interest in working with people from other cultures emotional resilience and social intelligence and you have to care about the work that you do and you have to be optimistic at least sometimes, although pessimism tends to be useful Below are additional skills that are a bonus, but are not required: experience with Python, Django, React, Android, or PyTorch experience with computer hardware, electronics, or physics experience with programming and/or math competitions product oriented mindset willingness to go on an adventure domain knowledge and/or interest in the sustainable development goals, particularly in public health, agriculture, and assisting developing countries What can you expect: unusual, socially conscious projects little bureaucracy significant ownership a mix of product, internal platform, and client integration work ability and encouragement to explore technologies other than your main expertise optional travel to learn more about problems we're trying to solve Requires a full-time commitment physically based in Warsaw, Poland, with a hybrid of remote and in-person work throughout the week. We expect at least 2-3 days per week in the office. The working hours are flexible, for example you do not need approval to take out a small chunk in the middle of the day to handle some personal business.

🏢 Summary: Hands-on Lead Infrastructure Engineer role responsible for defining and evolving infrastructure architecture for national-scale public health and food security systems. The position combines technical leadership with active building and operating of declarative, mostly bare-metal infrastructure across multiple countries. You will shape long-term technical direction, mentor engineers, and ensure reliable, scalable systems. 🗂️ Requirements: 6+ years of infrastructure or systems engineering experience, 1–2+ years in a technical lead role, Experience designing and operating Linux-based infrastructure, Strong knowledge of networking, databases, containers, and security, Experience with declarative infrastructure and Infrastructure as Code, Ability to design architecture and make long-term technical decisions, Experience planning and deploying bare metal infrastructure, Strong software engineering fundamentals (version control, testing, design, algorithms), Professional English proficiency (C1+), Full-time availability in Warsaw with hybrid work model 📃 Skills: Linux, Networking, Databases, Containers, Security, NixOS, Kubernetes, k3s, Terraform, Bare-metal, Git, Testing, Algorithms, Hardware, IaC 🏢 Description: QED ( https://qed.ai ) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV and malaria, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations, including the Global Fund, Gates Foundation, CDC, and USAID. We are looking for the Lead Infrastructure Engineer to shape and evolve the technical foundation that powers our systems. This is a hands-on leadership role where you will define architectural direction, elevate engineering standards, and stay deeply involved in building and operating infrastructure. As a team lead, you will guide critical decisions, mentor engineers, and drive a long-term vision for reliable systems operating across multiple countries. Your responsibilities will include: owning and evolving the infrastructure architecture, tooling strategy, and long-term technical decisions working with declarative tooling (NixOS + k3s + terraform) mostly on top of bare metal servers, with some cloud sprinkled in planning infrastructure layout, selecting components, testing, and deploying them planning and leading the building of bare metal infrastructure for deployment in low to middle income countries handling communication (both internal and external) participating in hiring, evaluate and interview candidates optional traveling to learn more about problems we're trying to solve and set up hardware in local data centers The role requires a full-time commitment physically based in Warsaw, Poland, with a hybrid of remote and in-person work throughout the week. We expect at least 2-3 days per week in the office. The working hours are flexible, for example you do not need approval to take out a small chunk in the middle of the day to handle some personal business. Desired skills include: 6+ years of infrastructure or systems engineering experience, with at least 1–2 years in a lead role demonstrated ability to scope, plan, and delegate technical work and to hold yourself and others accountable for outcomes broad knowledge of technology: Linux internals, networking, databases, containers, hardware performance, security; we value genuine depth and curiosity over checklist coverage strong software engineering fundamentals: version control, readable code, tests, robust design, basic data structures and algorithms working proficiency in English (≥ C1 spoken and written; ≥ 45 wpm typed) clear thinker who can express ideas well, both in writing and in conversation social intelligence and emotional resilience; you will work across cultures, time zones, and high-stakes situations Below are additional skills that are a bonus, but are not required: experience with NixOS, Kubernetes, Terraform experience with bare metal, including hardware selection and on-site setup ethical hacking experience experience with programming and/or math competitions willingness to go on an adventure domain knowledge and/or interest in the sustainable development goals, particularly in public health, agriculture, and assisting developing countries What can you expect: significant ownership, direct influence on team structure, standards, and hiring fully declarative infrastructure, strong (but not absolute) avoidance of anything manual no helm soup unusual, socially conscious projects low bureaucracy

🏢 Summary: IT Operations Specialist responsible for global hardware lifecycle management, access control, and security enforcement across distributed teams and field operations. The role covers procurement, configuration, inventory tracking, and management of Windows, Linux, and Android devices, including a custom Android MDM platform. Involves maintaining secure access practices and potentially supporting server infrastructure and on-site deployments. 🗂️ Requirements: Minimum 4 years of IT administration experience, Experience with hardware lifecycle management and global device logistics, Proficiency in Git, scripting, and networking fundamentals, Experience managing Windows, Linux, and Android devices, Knowledge of access management and security best practices (FDE, secrets handling), Experience with onboarding and offboarding processes, Working proficiency in English (C1 or higher), High level of integrity and trustworthiness 📃 Skills: Git, Scripting, Networking, Windows, Linux, Android, MDM, Kubernetes, VM, Bare-metal, FDE 🏢 Description: QED ( https://qed.ai ) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV and malaria, and nutrient analysis of crops and soils. Our work happens at a national scale, and our funding comes from partners like the Gates Foundation, CDC, and USAID. As we scale, we are looking for a highly trusted IT Operations Specialist to join our Warsaw team. The Role In this role, you’ll be responsible for the lifecycle of the hardware that powers our development and field operations across the globe. You will also be responsible for managing digital access internally, as well as externally. We are looking for a versatile professional with a background that spans both hardware and software administration. Your core responsibilities will include: Global procurement and logistics: Sourcing, configuring, and distributing laptops (Windows/Linux) and mobile devices for our staff in Poland and across our African offices. Keeping track of the inventory: Knowing exactly where every piece of QED equipment is, what condition it’s in, and what happens the moment it breaks. Security enforcement: Auditing and enforcing our personal computer security policy (FDE, handling of secrets). Access Control: Handling onboarding, offboarding, and access to our internal platforms. Android MDM: Managing our custom Mobile Device Management (MDM) service, built on the Android Management API. You will handle the procurement and logistics of devices used in the public health projects in the field. While this is an IT Operations role, the ability to read, write, and maintain the code of our custom MDM platform would be a big bonus. Requirements: High level of trust: You will have access to the most sensitive layers of our operation. Absolute integrity is non-negotiable. Experience with IT administration: We require at least 4 years of industry experience. We expect a proactive, opinionated approach. You should have a clear vision and knowledge of modern tooling and the ability to establish robust conventions for access management and security. Technical Proficiency :  Proficiency in core technologies, including Git for version control, scripting and networking fundamentals. Versatility: Comfort managing a fleet of Windows, Linux, and Android devices. Language: Working proficiency (≥C1) in English. Bonus: server infrastructure and willingness to travel Our core medical services run on custom Kubernetes clusters hosted across a mix of VM providers and bare‑metal servers in Sub-Saharan Africa and beyond, and we are rapidly expanding to new countries. While not a core requirement, technical expertise to physically install, cable, and configure server racks on-site is a big plus. If you have an adventurous soul and a willingness to travel to our African offices to manage these hardware deployments firsthand, it would be an additional advantage (this added commitment would also come with higher pay). What you can expect Multisport Flexible work hours (2-3 days in office) High autonomy Unusual socially conscious projects with genuine humanitarian purpose Little bureaucracy Significant ownership

🏢 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: Lead Data Engineer role focused on driving AI initiatives and building scalable cloud-based data architectures in a global environment. The position involves technical ownership of data platforms, designing secure and high-performing systems, and leading data engineering efforts in a DevOps setting. The role emphasizes AI integration, cloud infrastructure, and enterprise-grade data governance. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python in production, Strong experience designing and scaling complex data systems, Hands-on experience with AI technologies, Hands-on experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs and data integration, Experience with automation tools, Knowledge of data governance practices, Understanding of data security and compliance standards, Proven experience leading and mentoring engineers 📃 Skills: Python, SQL, AWS, Azure, Java, AI, RAG, MCP, APIs, DevOps, Automation, Monitoring, Cloud, DataEngineering, DataPipelines, Governance, Security, Compliance, Backend 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Lead Data Engineer role focused on building scalable AI and cloud-based data solutions in a global environment. The position involves leading data engineering initiatives, designing secure cloud architectures, and supporting AI applications using AWS or Azure. The offer includes hybrid work, professional development opportunities, and a comprehensive benefits package. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python, Experience designing and scaling complex data systems, Hands-on experience with AI technologies, Experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs, data integration, automation tools, and data governance, Understanding of data security and compliance standards, Leadership and mentoring experience, English and Polish proficiency (minimum B2) 📃 Skills: Python, SQL, AWS, Azure, Java, APIs, DevOps, AI, RAG, MCP, Automation, DataGovernance 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs