Oferty pracy Data Engineer i Data Science — Polska — Strona 3 — 377+ Ofert

As a Data Analyst & System Manager, you will be part of our Finance Analytics & Systems (FA&S) team, transforming complex financial data into clear insights. By building intuitive dashboards, robust analytical models and leveraging AI-supported analytics, you will help uncover patterns across financial processes and systems that drive smarter, data-driven decisions. This position is unlimited and based in Warsaw. WHAT YOU'LL DO Be a key contributor to our Finance team, supporting the delivery of a world-class e-commerce experience and enabling our journey towards growth and expansion Support the creation and continuous improvement of state-of-the-art KPI dashboards and reporting tools for our FP&A and Accounting teams, helping them easily track performance and identify trends Perform data analyses and data modeling, turning complex datasets into clear, actionable insights that support decision-making Leverage AI-driven tools and automation (e.g. for data exploration, anomaly detection, forecasting or reporting efficiency) to enhance analytical workflows and generate faster, more impactful insights Translate analytical findings into clear recommendations and provide valuable input to the leadership team YOU COME WITH A Bachelor’s degree in Economics, Mathematics, Statistics, or a related field, combined with at least three years of relevant professional experience in a comparable analytical or data-focused role Strong skills in Excel and SQL, with strong proficiency in Power BI (strict must-have requirement); experience with Tableau or other comparable data visualisation tools is an advantage Experience with OneLake / Data Lake and Snowflake is considered a strong plus; additional programming skills (e.g. Python, VBA) are also an advantage A passion for solving analytical problems using quantitative approaches and for turning data into meaningful, business-relevant recommendations The ability to thrive in a fast-paced environment, balancing precision with pragmatism to deliver results efficiently Fluency in English

<h3><strong>Tech stack:</strong></h3><ul><li><p>Databricks (Unity Catalog, Delta Live Tables)</p></li><li><p>Python (PySpark), SQL</p></li><li><p>Azure, AWS, or GCP</p></li><li><p>Data Lakehouse, Data Mesh, Data Marts</p></li><li><p>DevOps, CI/CD Pipelines</p></li><li><p>Agile (Scrum/Kanban)</p></li></ul><h3><strong>Requirements:</strong></h3><ul><li><p>At least <strong>8 years</strong> in Data Engineering, with a minimum of <strong>2 years</strong> specifically in Big Data environments.</p></li><li><p><strong>4+ years</strong> of hands-on experience with Databricks services, including data pipelines and Unity Catalog.</p></li><li><p>Expert-level skills in <strong>Python</strong> and <strong>SQL</strong>.</p></li><li><p>Strong background in Data Warehousing, ETL, and distributed data processing.</p></li><li><p>Deep understanding of Data Lakes, Data Warehouses, and <strong>Data Mesh</strong> concepts.</p></li><li><p>Experience with at least one public cloud (Azure, AWS, or GCP) and strong design skills for both relational and non-relational storage.</p></li><li><p>Analytical mindset capable of troubleshooting complex issues in a big data landscape.</p></li><li><p>Very good verbal and written <strong>English</strong> B2/C1</p></li><li><p>Experience working in Agile (Scrum/Kanban) environments.</p></li></ul><h3><strong>Project description:</strong></h3><p>Join our data engineering team as we develop and scale our enterprise data platform. We are building a high-performance ecosystem designed to manage large-scale datasets, ranging from structured to unstructured formats. In this role, you will help modernize our data infrastructure by implementing cutting-edge storage and processing solutions. You will play a key part in designing how we ingest, process, and govern data to provide reliable insights across the organization.</p><h3><strong>Main responsibilities:</strong></h3><ul><li><p>Design and maintain robust data pipelines and distributed data processing systems using Databricks.</p></li><li><p>Implement and manage data governance and security frameworks via <strong>Unity Catalog</strong>.</p></li><li><p>Develop sophisticated data models (Relational and Non-Relational) to support complex analytical requirements.</p></li><li><p>Improve the performance and reliability of Big Data workflows and ETL processes.</p></li><li><p>Work within an Agile environment, integrating DevOps and CI/CD principles into the data lifecycle.</p></li><li><p>Act as a subject matter expert, guiding the team through complex big data challenges and architectural decisions.</p></li></ul>