Analytics Engineer

Czym będziesz się zajmować?

• Contributing across the full analytical lifecycle, including data modelling and development and maintenance of Tableau dashboards and reports delivering clear, timely insights to technical and non-technical stakeholders
• Designing, implementing and maintaining high-quality ETL and Lakehouse pipelines across Databricks and Amazon Redshift to support the Single Source of Truth (SSOT) project by centralizing and integrating disparate datasets (e.g. Salesforce/CRM, holdings and finance data)
• Collaborating with Strategy and other business and technology stakeholders to understand key business questions and producing analytical products supporting commercial and strategic objectives
• Developing and enhancing enterprise-grade Tableau dashboards that communicate trends, drivers and performance, meeting standards for performance, usability and interpretability
• Contributing to design decisions around data freshness, transformation layers and analytical layer; proactively identifying data quality issues and partnering with upstream teams to resolve them
• Working closely with the local VP to support team management and strategic planning

• BS/MS in Computer Science, Data Science, Mathematics, Engineering or related field
• 6+ years in analytics engineering, BI or data engineering, incl. 2-3 years in complex enterprise environments
• Owning end-to-end analytical products (data modeling, transformations, dashboards, stakeholder delivery) at senior IC level
• Building and maintaining ETL pipelines (e.g. Databricks) with proficiency in Python, SQL, PySpark and solid data modelling knowledge
• Owning production reliability, validation, reconciliation against sources, failure resolution and documentation
• Partnering with IT to move analytical solutions through formal SDLC and change-management processes
• Strong collaboration skills, highly organized, working across locations and independently, incl. mentoring juniors

• Familiarity with financial markets and market data
• Experience with Apache Spark, Amazon S3, Redshift or similar cloud data platforms
• Prior experience in analytics teams within financial services or capital markets
• Familiarity with Salesforce/CRM or similar client data platforms
• Familiarity with Google Cloud / Enterprise AI tools (e.g. Vertex AI, Gemini)
• Exposure to AI-supported analytics or agent design patterns (RAG, orchestration, routing)

• Python
• SQL
• Tableau
• PySpark
• Databricks
• ETL
• Data modeling
• Redshift

• Data Quality
• Mentoring
• Zarządzanie interesariuszami

• Angielski

• 15.2k PLN brutto/m (Umowa o pracę)
• Umowa o pracę - Elastyczne godziny pracy (100%)
• Praca zdalna: Brak
• Szkolenia wewnętrzne, Klasy językowe
• Pakiet medyczny, Ubezpieczenie

At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making. With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities:

• Investment Services: Integrated front-to-back solutions across custody, accounting, and operations.
• Investment Management: Index and active strategies from one of the world’s largest asset managers.
• Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value.

Who We Are

• 50,000+ employees worldwide
• Active in 100+ markets
• #1 in ETF servicing

What You’ll Find Here

• Executive perspectives and thought leadership
• Timely market commentary and macro insights
• Our views on investment operations, ETFs, private markets, and digital finance
• Stories reflecting our culture, values and commitment to diversity and inclusion