Senior Data Engineer

Workatbackbase; Kraków; On-site; PLN 120,000 - 210,000; Full time

Job summary

Workatbackbase is hiring a Data Engineer to design, develop, test, and implement data solutions for our Engaging Banking Platform. You will work on data ingestion, processing, validations, and visualisation within a Lakehouse architecture, with emphasis on quality and governance.

You will build scalable AI-enabled data workflows, rigorous data pipelines, and dashboards used by banks worldwide. Collaboration with cross-functional teams will be key in delivering reliable, compliant data platforms.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, preferably in Databricks.
• Strong skills in Python, SQL and Java; database programming expertise.
• Experience with Data Lakehouse concepts and Delta Lake; data governance awareness.
• Cloud experience with AWS or Azure; excellent problem-solving skills.

Responsibilities

• Develop and maintain data pipelines and objects in Data Lakehouse.
• Create and maintain data ingestion from multiple sources (RDBMS, CDC, streaming).
• Develop data models to support reporting and analytics; contribute to AI models.
• Build interactive dashboards/reports with visualizations alongside UX designers.
• Collaborate with cross-functional teams to translate requirements into data-driven solutions.

Skills

Python

SQL

Java

Education

Bachelor's or Master's in Computer Science / Data Science

Tools

Azure Databricks

Delta Lake

Microsoft Fabric

Azure Blob

Cosmos DB

Azure Key Vault

GitHub Actions

PySpark

Job description

Data Engineer

As a Data Engineer you will play a crucial role in designing, developing, testing and implementing data solutions for our Engaging Banking Platform. Your responsibilities will span from data integrations, processing, validations and visualisation utilizing Data Lakehouse with medallion architecture, Reporting Suite and conversational LLM models. You will guard the data consistency, quality and end to end governance from where data is born to where it is used in dashboards, AI / ML applications and other data consumers. You will also be involved in building insightful visualizations and reports used by customers of banks worldwide. In addition you will be involved in design, develop, and deploy scalable AI-driven solutions: underlying infrastructure, agent orchestration layers, and evaluative frameworks that make AI reliable, safe, and impactful in a highly regulated financial environment. You will work in a multinational, diversified, focused and professional environment with a friendly atmosphere.

What you'll do

develop and maintain the workspaces, data pipelines and objects in Data Lakehouse develop and maintain data ingestion solutions from many different sources, such as RDBMS, Change Data Capture and streaming endpoints ensuring its accuracy and consistency Develop and maintain data-oriented solutions with SQL and Python code create and maintain data models to support reporting and analytics needs incl. AI models will be involved in create custom visualizations together with our user experience designers, develop interactive and visually appealing dashboards and reports work closely with cross-functional teams to understand business requirements and deliver data-driven solutions, develop optimisations and troubleshoot issues document and share knowledge on solutions, including data models, reports, and dashboards, for future reference and training purposes.

Who you are

A Bachelor's or Master's degree in Computer Science, Data Science, or a related field; 5+ years of experience in data engineering, preferably in Databricks Strong skills in programming languages like Python and Java and database programming SQL Expertise in Data Lakehouse concepts and Delta Lake; Strong solution design and architecture skills, understanding of data domains, regulations, and compliance requirements; Experience with cloud computing platforms (e.g., AWS, Azure); Exceptional problem-solving skills and the ability to think critically under pressure; Excellent communication and collaboration skills to work effectively within a team and to explain concepts to your team's colleagues.. Excellent written and verbal communication skills in English.

Our tech stack

Languages: Python, SQL. Platform: Microsoft Fabric, Azure Databricks, Delta Lake, Azure Blob, Cosmos DB, Azure Key Vault. Processing and orchestration: PySpark, Fabric pipelines and notebooks. Ops: GitHub Actions, Fabric deployment pipelines, Power BI. AI surface: MCP, vector and hybrid search.