Data Engineer (GCP)

🏢 Summary: Oferta dotyczy roli Python Backend / Data Engineera odpowiedzialnego za rozwój skalowalnej platformy danych, pipeline’ów oraz usług backendowych i REST API. Stanowisko obejmuje integracje z systemami i zewnętrznymi źródłami danych, dbanie o ich jakość oraz współpracę przy budowie architektury mikroserwisowej. 🗂️ Requirements: Minimum 5 lat doświadczenia jako Python Developer, Bardzo dobra znajomość Python, Doświadczenie z bibliotekami do przetwarzania danych, Doświadczenie w tworzeniu REST API, Bardzo dobra znajomość SQL, Praktyczne doświadczenie z PostgreSQL lub Oracle, Doświadczenie w projektowaniu i utrzymaniu pipeline’ów danych, Znajomość Git, code review, testów automatycznych i CI/CD, Umiejętność projektowania integracji między systemami i pracy z API, Komunikatywna znajomość języka angielskiego 📃 Skills: Python, Pandas, REST, FastAPI, Flask, SQL, PostgreSQL, Oracle, Git, CICD, API 🏢 Description: Do naszego zespołu poszukujemy doświadczonego Python Backend / Data Engineera, który będzie odpowiedzialny za rozwój platformy danych oraz usług backendowych wspierających procesy związane z danymi biznesowymi i rynkowymi. Jeśli lubisz pracować z danymi, budować skalowalne rozwiązania oraz rozwijać nowoczesne API, ta rola jest dla Ciebie. Zakres obowiązków Projektowanie, budowa i utrzymanie pipeline'ów danych odpowiedzialnych za pobieranie, przetwarzanie i transformację danych z systemów wewnętrznych oraz zewnętrznych źródeł rynkowych (Apache Airflow). Tworzenie i rozwój modelu danych z naciskiem na jakość, spójność oraz śledzenie pochodzenia danych. Rozwój i utrzymanie aplikacji backendowych oraz REST API w Pythonie udostępniających dane i logikę biznesową dla systemów wewnętrznych. Integracja z systemami źródłowymi i zewnętrznymi API oraz implementacja rozwiązań opartych o komunikację zdarzeniową. Dbanie o jakość kodu poprzez testy, dokumentację, monitoring oraz kontrolę jakości danych. Współpraca z zespołami produktowymi, architektami, Scrum Masterami oraz programistami przy przekładaniu wymagań biznesowych na stabilne i skalowalne rozwiązania. Dla osób zainteresowanych rozwojem Full Stack – możliwość współtworzenia warstwy frontendowej w Angularze. Wymagania Minimum 5 lat doświadczenia zawodowego jako Python Developer, Bardzo dobra znajomość języka Python. Doświadczenie w pracy z bibliotekami do przetwarzania danych (np. Pandas). Doświadczenie w tworzeniu REST API (FastAPI, Flask lub podobne frameworki). Bardzo dobra znajomość SQL oraz praktyczne doświadczenie z bazami danych PostgreSQL i/lub Oracle. Doświadczenie w projektowaniu i utrzymaniu pipeline'ów danych, mile widziana znajomość Apache Airflow. Znajomość Git, code review, testów automatycznych oraz praktyk CI/CD. Umiejętność projektowania integracji pomiędzy systemami i pracy z API. Komunikatywna znajomość języka angielskiego umożliwiająca pracę w międzynarodowym środowisku. Mile widziane Doświadczenie frontendowe w Angularze. Znajomość rozwiązań chmurowych oraz technologii konteneryzacji (Docker, Kubernetes) . Doświadczenie z platformami event streaming (np. Kafka). Znajomość narzędzi do monitorowania jakości danych i obserwowalności systemów. Podstawowa znajomość procesów Machine Learning oraz współpracy z zespołami Data Science. Doświadczenie w branży motoryzacyjnej, leasingowej, pricingowej lub remarketingowej. Oferujemy Pracę przy rozwoju nowoczesnej platformy danych i systemów backendowych. Udział w projektach wykorzystujących nowoczesne technologie oraz architekturę opartą o mikroserwisy. Współpracę z międzynarodowym zespołem ekspertów. Możliwość rozwoju kompetencji w obszarze Data Engineering, Backend Development oraz Cloud. Elastyczne środowisko pracy oraz realny wpływ na rozwój tworzonych rozwiązań.

🏢 Summary: Develop and optimize large-scale data lake pipelines and end-to-end data processing solutions for an international social media platform. The role offers work with modern Big Data technologies, cross-functional global teams, and flexible hybrid work arrangements. Permanent employment includes training, professional development, healthcare, insurance, and additional employee benefits. 🗂️ Requirements: 3–6 months of Python software development experience, Very good SQL knowledge, Practical OLAP database experience, Knowledge of Hive, Spark, HBase, HDFS, Cassandra, and Kafka, Analytical problem-solving ability, Experience in international multidisciplinary teams, Fluent written and spoken English 📃 Skills: Python, SQL, OLAP, Hive, Spark, HBase, HDFS, Cassandra, Kafka 🏢 Description: Job Description WHO WE ARE: Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with technology partners such as Microsoft, AWS, Google, Oracle, and Snowflake to deliver data-driven solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. For more information about Accenture Technology Poland, please visit our website. THE WORK: Develop end-to-end data solutions, including programming and implementation of data processing components. Support the development, maintenance, and optimization of large-scale data lake pipelines for a global social media platform. Analyze complex technical challenges and deliver effective solutions in a problem-solving environment , demonstrating a commitment to constant progress . Create and maintain technical documentation while dedicated to ongoing improvement and knowledge sharing. Collaborate with international, cross-functional teams, showing a passion for personal development and being motivated to embrace new opportunities . Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Work on international projects involving large-scale data processing and modern Big Data technologies. Expand your technical skill set through exposure to complex data engineering challenges and cloud-scale environments. Gain insights and support from experienced data professionals in a collaborative and diverse team. Access opportunities for continuous learning and professional growth while working with innovative technologies. Qualification HERE’S WHAT YOU’LL NEED: 3 - 6 months of experience developing software using Python. Very good knowledge of SQL and practical experience working with OLAP databases. Knowledge of Big Data technologies such as Hive, Spark, HBase, HDFS, Cassandra, and Kafka. Ability to work analytically in a problem-solving environment. Experience working in international, multidisciplinary teams combining technical and business expertise. Fluent English, both written and spoken. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. BONUS POINTS IF YOU HAVE: Experience with Apache Airflow. Familiarity with cloud-based data platforms and distributed data processing environments. Experience supporting the full lifecycle of data engineering solutions, from development to optimization. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? Permanent employment contract. Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. A wide training package (soft, technical, and language training offer, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification). Employee Assistance Program: legal, financial, and psychological consultations. Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares. Paid employee referral program. Private medical care and life insurance. Access to the MyBenefit platform, including a wide range of products and services such as the Multisport card. WHAT WE BELIEVE: Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as a partner to many of the world’s leading businesses, organizations, and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.

🏢 Summary: Hybrid Senior Big Data Engineer offer focused on building and optimizing a financial data platform for structured-finance workflows. The role involves designing scalable Spark and Java data-processing solutions, supporting production systems, and collaborating in Agile global teams. 🗂️ Requirements: 3–5 years of big data engineering experience, Strong Spark expertise, Strong Java expertise, DevOps knowledge, CI/CD knowledge, Microservices knowledge, Fluent English, Legal right to work in the European Union 📃 Skills: Java, Spark, Python, DevOps, CICD, Microservices, Airflow, Git, Scrum 🏢 Description: Unleash the power of big data to revolutionize financial technology — drive innovation at the forefront of banking transformation! Warsaw-based opportunity with hybrid work model (up to 2 days remote per week). As a Senior Big Data Engineer – Java and Spark , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a state-of-the-art data platform that supports complex financial workflows and fosters collaboration across multiple stakeholders. Join us to shape impactful data solutions that fuel digital transformation and unlock new growth avenues—your expertise will propel innovation in the financial sector. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into detailed technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Java. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to Agile teams delivering value through Scrum cycles and support innovative project delivery. Keep up-to-date with evolving big data technologies and apply best practices. Support applications, troubleshoot production issues, and ensure high-quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You’re ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance sectors. Strong expertise in Spark and Java, with additional knowledge of Python (nice to have), DevOps, CI/CD tools, and microservices. Fluent in English (spoken and written). Analytical mindset with excellent problem-solving skills. Proactive attitude with strong teamwork capabilities across global teams. Effective communication skills and ability to operate across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior Big Data Engineer role building and optimizing a financial data platform for structured-finance workflows. The position focuses on scalable Spark and Java data-processing solutions, production support, and Agile collaboration in a hybrid Warsaw-based model. 🗂️ Requirements: 3–5 years of big data engineering experience, Strong Spark expertise, Strong Java expertise, Knowledge of DevOps, CI/CD, and microservices, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Java, DevOps, CI/CD, Microservices, Python, Airflow, Git, Scrum 🏢 Description: Location & Work Model Warsaw-based opportunity with a hybrid work model, with up to 2 remote days per week. Description As a Senior Big Data Engineer – Java and Spark, you will work on building and optimizing a state-of-the-art data platform supporting complex financial workflows and collaboration across multiple stakeholders. The role focuses on delivering impactful data solutions that support digital transformation in the financial sector. Responsibilities • Design and develop solutions to collect, transform, and process large datasets efficiently. • Analyze data from multiple sources and translate insights into detailed technical specifications. • Implement and industrialize reliable, scalable, and resilient data-processing jobs using Spark and Java. • Conduct code reviews and collaborate with team members to drive continuous improvement. • Contribute to Agile teams delivering value through Scrum cycles and support innovative project delivery. • Keep current with evolving big-data technologies and apply best practices. • Support applications, troubleshoot production issues, and maintain high-quality standards. • Produce comprehensive technical documentation, test plans, and project artifacts. Requirements • 3–5 years of professional experience in big data engineering, ideally in banking or finance. • Strong expertise in Spark and Java. • Knowledge of DevOps, CI/CD tools, and microservices. • Fluent written and spoken English. • Analytical mindset and excellent problem-solving skills. • Proactive approach and strong teamwork skills in global teams. • Effective communication skills and ability to work across time zones. • Existing legal right to work in the European Union. Preferred Qualifications • Knowledge of Python. • Knowledge of Airflow, Git, and modern data-architecture strategies. • Experience with Agile methodologies and delivering solutions in fast-paced environments.

🏢 Summary: Partner Engineer role owning the technical relationship and joint product roadmap between Databricks and Microsoft Azure. The position drives cross-company engineering integrations, resolves dependencies, develops reference architectures, and enables field teams on Azure–Databricks solutions. 🗂️ Requirements: 10+ years in cloud solution architecture, partner engineering, or technical program management, Deep expertise in Microsoft Azure services and architecture patterns, Experience managing strategic technical partnerships with VP/C-level stakeholders, Hands-on ability to prototype integrations, debug complex issues, and validate technical feasibility, Experience with Python, SQL, infrastructure-as-code, and API integrations, Ability to manage complex multi-company engineering initiatives and drive consensus, Deep knowledge of the Databricks platform and Microsoft data/AI ecosystem, Strong technical communication and influence across product, engineering, and partner teams 📃 Skills: Azure, Databricks, Python, SQL, APIs, Infrastructure-as-code 🏢 Description: RDQ427R371 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What we’re looking for 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns. Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations. Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns. Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health. Deep knowledge of Databricks platform and Microsoft data/AI ecosystem Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams. Preferred Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs. Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes. History of driving product-to-product integrations between major platforms. Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $150,200 — $206,450 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $150,200 — $206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice