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.