Senior Data Engineer

We are looking for a Senior Data Engineer to strengthen our data team in the financial services industry. You'll take ownership of end-to-end data solutions on Azure and Databricks, shape how we model and govern data across Bolder Group, and act as a technical reference point for less experienced colleagues.

This role suits a professional who works independently , gives shape to ideas and concepts, and takes care of the implementation and improvement of data sources — with only sporadic feedback needed.

What You'll Do

• Own data pipelines end-to-end – Design, build, and maintain robust ETL/ELT pipelines to ingest, clean, transform, and load data from various sources into Azure data stores and Databricks clusters using Python, SQL, and PySpark.
• Design data models & the Enterprise Dimensional Model – Build models that support a single source of truth and are optimized for Power BI and downstream analytics.
• Architect data solutions on Azure – Translate business requirements into scalable solutions using Databricks, Data Lake Storage, SQL Database, and Logic Apps.
• Data management & governance – Champion data quality practices, master/reference data, data catalogue, and data publishing; help implement governance and security controls across Bolder's data platform.
• Performance, cost & CI/CD optimization – Continuously monitor and improve pipeline performance, reliability, and cost-effectiveness, and apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment.
• Coach & mentor – Guide junior data engineers, review their work, and share knowledge across the team.
• Innovation – Identify improvement opportunities, contribute to setting them up, and drive their implementation.

What You Bring

• Minimum 5 years of professional experience in data engineering, ideally including cloud-based projects.
• Azure services – strong hands-on experience with Azure Data Factory, Azure Databricks, Data Lake Storage, Azure SQL Database, and Logic Apps; able to design end-to-end architectures.
• Databricks & Data Lake – at least 2 years of hands-on experience with Databricks, including the Lakehouse concept, Delta Lake, and performance tuning.
• Data modelling – strong grasp of star schema, Medallion architecture, and building models for BI consumption.
• Programming – proficiency in PySpark, SQL, and Python.
• CI/CD – solid grasp of CI/CD principles with hands-on experience in version control, automated testing, and deployment.
• Data governance – experience implementing data quality, lineage, and cataloguing practices (e.g. Unity Catalog).
• English – confident written and verbal communication with technical and business stakeholders.
• Mindset – ownership-driven, structured, and comfortable coaching others.
• Familiarity with APIs and integration with market data providers.

Nice to have

• Exposure to Machine Learning workflows (a plus, not a requirement)
• Databricks certification – a relevant Databricks certification is an advantage.

What we offer At Bolder, you'll always find:

• Fair financial compensation based on your qualifications and experience
• Opportunity to shape how data engineering evolves at Bolder Group
• An environment that supports personal growth and healthy work-life balance
• Development opportunities across Bolder Group and affiliated companies

Benefits:

• Guaranteed 13th salary
• 2 sick days per year
• Sick leave support
• Fully covered meal vouchers
• Multisport card or cash allowance for sports and cultural activities
• Monthly travel allowance
• Fruits and beverages in the office daily
• Team activities and events

Salary: The minimum offer for this role is €3,200 gross/month/full-time . We aim to pay our employees fairly, so your salary might be higher, reflecting your experience and skill set.