Data Engineer

🏢 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

🏢 Summary: Senior Azure Data Engineer role focused on building and optimizing big-data products, data pipelines, analytics solutions, and APIs for pharmaceutical and FMCG customers. The position combines end-to-end data lifecycle ownership, client advisory work, and collaboration in multidisciplinary teams. 🗂️ Requirements: 4+ years of Azure experience, 6+ years of large-scale data management, visualization, and analytics experience, Hands-on experience with Azure data services, Azure platform knowledge, Analytics, databases, and data systems experience, Direct client-facing experience, SQL proficiency, Python proficiency, Intermediate Azure DevOps or GitHub proficiency, Experience in small technical teams, Very good English communication skills, International client project experience, Proactive problem-solving approach 📃 Skills: Azure, Databricks, DataLake, Synapse, AzureSQL, DataFactory, DataExplorer, SQL, Python, AzureDevOps, GitHub 🏢 Description: C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance . With a highly integrated team of 400+ experts , for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. 🌍 We are looking for an experienced Senior Azure Data Engineer , who will support our global customers mainly in the pharmaceutical and FMCG industry in building innovative big data products and services.  🚀 📝 You will be responsible for: Working to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization Creating the pipeline for data processing, data visualization, and analytics products, including automated services, and APIs; Ingest data sources into data management platforms Structure data into a scalable and easily understood architecture Implement/build methodologies as well as (understand how to) scale them together with the businesses Analyzing, maintaining and optimizing performance of existing solutions Data Quality checks implementation Designing, managing, and maintaining tools to automate operational processes Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights. You will find how to leverage the data and the models to create and improve products for our customers, in lean development cycles Advising clients and proposing improvements (direct contact with stakeholders). 👉 What you will need: 4+ years of experience in Azure and 6+ of industrial experience in the domain of large-scale data management, visualization and analytics Hands-on knowledge of the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer) Good understanding of Azure as a platform Experience with analytics, databases, data systems and working directly with clients Good knowledge of SQL and Python Azure DevOps/GitHub at least intermediate level Ability to work in small, highly technical groups Very good knowledge of English with the ability to speak but also explain and simplify technical topics for the business Experience working on projects for international clients Proactive approach and goal-oriented, problem-solving skills. 💡 Optional Knowledge of Infrastructure as a Code principles (Terraform or Azure ARM or Bicep); Ability to effectively incorporate AI-assisted development practices while maintaining strong engineering judgment, code quality, security, and compliance standards Willingness to show up at the Warsaw office as needed (customer visits / workshops / integrations / important project periods requiring f2f teamwork). ✨ What we offer: Learning & development opportunities – after your probation period, you’ll have access to a highly flexible and generous English language reimbursement program, along with an individual development budget to use as you see fit. Classic benefits like private medical care, a sports card, and a preferential life insurance plan. Plus, our infamous Fruit Tuesdays and a special summer bonus – ice cream. A hybrid work setup with plenty of flexibility. Delivery teams work mostly remotely. A bunch of non-work activities , including Office Day (a fun-filled day when employees from all over Poland gather at the office), POP UP integrations,  various competitions from cooking to photography, and the chance to submit charity causes to our CF4GOOD program, which provides support to those in need. A workplace that values people and is built on collaboration, not competition. If you’re tired of toxic work environments, you’ll finally get a chance to breathe. And if you’ve been lucky with great employers so far, we’ll do our best to keep that streak going.

🏢 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.