Azure Data Engineer with Databricks w Warszawa, Polska - Jobeax
Opis oferty
Azure Data Engineer with Databricks w Warszawa, Polska
Accenture
StacjonarniePraca z biura
KontraktUmowa czasowa lub freelancing
Poland, Warszawa
Azure Data Engineer with Databricks w Warszawa, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
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. At the AI&Data we work locally and globally with over 200 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 implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK Develop and implement scalable data processing solutions on Azure, transforming and cleaning large structured and unstructured datasets efficiently. Design, build, and maintain robust data pipelines integrating data from diverse sources (databases, APIs, streaming platforms). Collaborate with cross‑functional teams including data engineers, data scientists, and cloud architects to deliver end‑to‑end data platform solutions. Engage at all critical stages of project development with business analysts, source system experts, data architects, engineers, and product owners. Clearly communicate and document technical work, factoring in performance and cost considerations in all design decisions 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 cloud migration and large‑scale data platform projects across industries such as power engineering, automotive, finance and more. Thrive on continuous advancement by engaging in diverse, complex solutions and data architecture challenges. Expand your skill set through collaboration with experts and exposure to modern concepts and architectures (e.g., data mesh, data virtualization, agentic architectures and more). Qualification HERE’S WHAT YOU’LL NEED: Hands‑on experience with implementing solutions with data lakes and pipelines (Databricks, Azure Data Factory). Proven experience in designing and implementing solutions in Azure cloud (knowledge of AWS, GCP will be an additional advantage). Proficiency in SQL, PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (including Azure Data Factory). Experience with Python or similar scripting languages for data transformation, orchestration, and automation. Familiarity with advanced Databricks features (Unity Catalog, MLflow, Jobs & Pipelines). Understanding of cloud data architecture principles including data Lakehouse concepts, Medallion architecture, API integration, and event‑driven architecture. Experience with CI/CD and DevOps practices for data workflows (Git, Azure DevOps) and analytics integration (e.g., Power BI). Excellent communication and client‑facing skills with the ability to explain technical concepts clearly. Strong collaboration skills across multidisciplinary teams. BONUS POINTS IF YOU HAVE: Knowledge of modern data stack tools (e.g., dbt, Power BI, Tableau, Looker). Experience with infrastructure‑as‑code tools (e.g., Databricks Asset Bundles, Terraform, ARM templates). Experience with cost optimization and FinOps principles for cloud data solutions. Familiarity with machine learning or GenAI integration — operationalizing AI/ML models or leveraging LLMs within Databricks/Azure. Databricks Associate or Professional certifications. Microsoft Certifications in the areas of Microsoft Fabric and Azure. 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? A permanent employment contract. Individual support of a People Lead and a defined path for professional development, with the possibility of coaching sessions. A wide training package (soft, technical, language training; access to e‑learning platforms; Gallup test; GenAI training; possibility of co‑financing certifications). Employee Assistance Program – legal, financial, and psychological consultations. Eligibility for the Employee Share Purchase Plan and quarterly dividends if owning company shares. Paid employee referral program. Private medical care and life insurance. Access to the Worksmile platform, including Multisport and a broad portfolio of benefits. 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. Inclusion and diversity are fundamental to our culture and core values. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.
... experience with Azure Data Factory (ADF) pipelines proficiency in incremental and full data loads familiarity with CI/CD integration for data workflows knowledge of Databricks and Python for advanced data processing strong grasp of dimensional modeling and schema design experience implementing Change Data Capture (CDC) in production ...
... experience with Azure Databricks and lakehouse architectures. Experience with dimensional modelling, conformed models and SCD patterns. Knowledge of Unity Catalog, data governance and security design. Understanding of analytics, semantic layers and Databricks SQL. Experience producing architecture documentation, including HLDs, ...
... engineering (preferowane nad czysto data/BI profile), Doświadczenie z:, a) platformami lakehouse (Databricks),, b) architekturą streamingową / near real-time,, c) Databricks Structured Streaming, Delta Live Tables., Znajomość:, a) integracji z Power BI,, b) środowiska Microsoft Azure / M365,, c) usług Azure (Functions, Service ...
... technologies in the data engineering space Wymagania Requirements Minimum 3 years of experience in a Data Engineer role or similar position Strong knowledge of Azure data services (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake) Extensive experience with Databricks and Apache Spark Proficiency in SQL and experience ...
... within the team. Requirements: 5+ years of professional experience in Data Engineering, Data Architecture or Data Warehousing. Strong experience with SQL and database procedural languages (e.g. T-SQL, PL/SQL). Experience in designing and implementing scalable data solutions and architectures. Hands-on experience with Databricks ...
... logging, and monitoring. Collaborate with data, AI, engineering, platform, security, quality, and business teams. Mentor engineers and help teams adopt better Databricks, Azure, GitHub, and DevOps practices. Required Skills Strong hands-on experience with Databricks in enterprise environments. Experience with Databricks ...
... experience with Microsoft Azure services, particularly Azure Databricks and Data Lake Storage Proficiency in Azure access management (RBAC, Entra ID)Knowledge of Databricks governance, including Unity Catalog for security and data lineageHands-on experience using Terraform for deploying and managing Databricks infrastructureBasic ...
... experience with Microsoft Azure services, particularly Azure Databricks and Data Lake Storage Proficiency in Azure access management (RBAC, Entra ID)Knowledge of Databricks governance, including Unity Catalog for security and data lineageHands-on experience using Terraform for deploying and managing Databricks infrastructureBasic ...
... experience with Microsoft Azure services, particularly Azure Databricks and Data Lake Storage Proficiency in Azure access management (RBAC, Entra ID)Knowledge of Databricks governance, including Unity Catalog for security and data lineageHands-on experience using Terraform for deploying and managing Databricks infrastructureBasic ...
... degree in Computer Science, Engineering, or related field At least 5 years of experience in Data Engineering with a strong ETL background Hands-on experience with Azure Data Factory, Azure Databricks, Azure SQL, ADLS Proficiency in Python, Scala, or Java and strong SQL skills Experience with big data frameworks, CI/CD, ...
... or analytics engineering. - Strong proficiency in Python and SQL (familiarity with Scala is a nice-to-have). - Practical experience designing and maintaining data pipelines within the Databricks ecosystem. - Working knowledge of public cloud environments (Azure, AWS, or GCP), specifically compute, storage, and data services. ...
... their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala ...
... technologie Microsoft i Databricks, jednocześnie stale rozwijamy się i poszukujemy nowych sposobów, by zaspokoić wymagania rynku. Aktualnie poszukujemy doświadczonego Databricks Tech Lead, który będzie kluczowym członkiem naszego zespołu, odpowiedzialnym za projektowanie i rozwój rozwiązań opartych o platformę Databricks, nadzorowanie ...
... Masz minimum 5 lat doświadczenia jako DevOps Engineer, Cloud Engineer, Platform Engineer lub na podobnym stanowisku. Od co najmniej 3 lat pracujesz z Microsoft Azure. Budowałeś i utrzymywałeś środowiska produkcyjne klasy enterprise. Praktycznie wykorzystujesz Kubernetes, najlepiej Azure Kubernetes Service. Swobodnie pracujesz ...
... business requirements into analytical solutions, improving reporting performance, and contributing to data governance. Position overview We are looking for a Data & Visualization Engineer with experience in Snowflake, SQL, data modeling, and BI tools. You will be involved in building data models, developing dashboards, ...
... and scaling our clients’ cloud data platforms. You’ll work closely with technical and business stakeholders, influence architecture decisions, and drive best engineering standards across teams., Expect cutting-edge cloud environments (Azure-first, with cross-cloud exposure), Databricks, Spark, robust CI/CD, and high-impact ...
... conducting regression, performance, and scalability testing for data ingestion and transformation implementing data quality validation and anomaly detection in Azure-based data pipelines collaborating with Data Engineers and DevOps teams to integrate testing into CI/CD pipelines ensuring compliance with data security, governance, ...