Data Engineering Lead, MarTech (Azure Databricks)
- Databricks
- Azure Databricks
- CRM
- Agile
- Devops
- CI/CD
- IaC
- PySpark
- SQL
- dbt
- Azure Data Factory
About the role
Are you an experiencedData Engineer with strongDatabricksexpertise who is ready to take the next step into people leadership? We are looking for a motivated and technically strongData Engineering Leadto build and develop our new MarTech Data Engineering Team, delivering reliable data products and services onAzure Databricks.
AsData Engineering Lead, you will combine technical leadership with people leadership, supporting the growth, capability development, and engagement of the chapter members while driving engineering excellence across theMarTech domain.
About the team
TheCRM & Marketing Solutions IT unit delivers omni-channel personalization services for our Nordic customers using platforms such asBloomreach Engagement CDP andSalesforce Marketing Cloud.
We develop data products and services onAzure Databricks with high expectations for reliability, scalability, availability, and accuracy. We operate in anAgileandDevOps environment and work closely with both business and IT stakeholders across the Nordics and Baltics.
Our teams are friendly, supportive, and self-driven. We value collaboration, knowledge sharing, and continuous learning while building modern data and marketing technology capabilities.
What are you going to do?
Build and lead a distributed team of talented data engineers across the Nordic countries and Latvia.
Support the professional growth, engagement, and development of chapter members.
Set high standards for data ownership, quality, reliability, and delivery.
Foster a collaborative, supportive, and learning-oriented engineering culture.
Promote sound engineering principles, including reusability, automation, testing, security, and scalable data products.
Actively contribute to solution development while coaching and mentoring engineers in Azure Databricks.
Enable engineers to architect, build, and operate cost-efficient, production-grade data products, pipelines, and lakehouse services with a focus on trusted business-ready data.
Establish chapter-wide engineering practices covering data quality, governance, CI/CD, Infrastructure as Code, and operational excellence.
Drive standardization, modular design, scalability, and cost efficiency across the Azure data platform.
Build strong engineering capabilities and communities of practice across teams and domains.
What do we expect from you?
You are proficient in:
Azure Databricks (PySpark/SQL)
DBT
Azure Data Factory
Cloud storage solutions
Modern data pipeline development
Fluency in English, with the ability to make complex technical concepts understandable and actionable for both engineers and business stakeholders.In addition, understand one of the Baltic languages to collaborate in an international environment.
In addition:
You have experience in Data modelling, Lakehouse architecture, Streaming, Data governance, Data quality and platform engineering.
You are passionate about Agile development, continuous improvement, and fostering a culture of learning, curiosity, and professional growth.
You hold a university degree in Software Engineering, Data Engineering, Computer Science, or a related field, or possess equivalent practical experience.
Our promise to you
Monthly salary: €5500-7500 gross, if you are employed in Lithuania; €5000-6500 gross, if you are employed in Latvia; €6000-7500 gross, if you are employed in Estonia*. Additionally, there is an annual bonus. (*Please note that the specific amount varies due to different employment taxation in Baltic countries.)
Strong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives
Career and development opportunities in the biggest insurance company in the Nordics
Challenging and exciting projects with autonomy to plan own tasks
Extra vacation days, annual bonus, great insurance benefits, discounts on our products for you and your family, gifts, etc.
Hybrid work and ergonomic home office compensation
Nice and ergonomic office in the centre. (in Riga office 24/7 gym on the premises)
Business trips to Baltic and Nordic countries
Read more aboutbenefits for our employees.
Application deadline: [October 30, 2026]
Your application will be processed according to ourprivacy notice.
Data Engineering Lead, MarTech (Azure Databricks) · If P&C Insurance Ltd