Are you an experienced Data Engineer with strong Databricks expertise who is ready to take the next step into people leadership? We are looking for a motivated and technically strong Data Engineering Lead to build and develop our new MarTech Data Engineering Team, delivering reliable data products and services on Azure Databricks.
As Data 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 the MarTech domain.
About the role
We are looking for a Data Engineering Lead to coach, lead and mentor data engineers while fostering collaboration, sharing best practices, and driving continuous improvement.
You bring several years of practical experience in end-to-end data engineering, preferably in a lead role within a large-scale cloud environment. You enjoy helping others grow and are passionate about creating high-performing engineering teams.
About the team
The CRM & Marketing Solutions IT unit delivers omni-channel personalization services for our Nordic customers using platforms such as Bloomreach Engagement CDP and Salesforce Marketing Cloud.
We develop data products and services on Azure Databricks with high expectations for reliability, scalability, availability, and accuracy. We operate in an Agile and DevOps 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.
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, to 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.
We offer
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 (e.g. 3 dedicated up-skilling days) 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.
Possibility of hybrid work, where office is our primary workplace
A recently renovated office in Riga centre with a 24/7 gym on the premises
Read more about benefits for our employees.
Application deadline: October 30, 2026
Your application will be processed according to our privacy notice.
Skills Required
- Proficiency in Azure Databricks, PySpark, and SQL
- Proficiency in dbt
- Proficiency in Azure Data Factory
- Experience with cloud storage solutions
- Experience developing modern data pipelines
- Several years of practical, end-to-end data engineering experience
- Experience in a lead role within a large-scale cloud environment
- Experience with data modeling, lakehouse architecture, streaming, data governance, data quality, and platform engineering
- Fluency in English
- Ability to understand one Baltic language
- University degree in Software Engineering, Data Engineering, Computer Science, or a related field, or equivalent practical experience
- Experience with Agile development and continuous improvement
- People leadership, coaching, mentoring, and team development experience
What We Do
If is the Nordic region’s largest property-and-casualty insurance company, serving individuals and businesses across the Nordic and Baltic countries. It provides personal, property, home, vehicle, and business insurance, supporting about 4.6 million customers with more than 10,000 employees. The company is owned by Sampo and emphasizes helping customers manage financial risks, recover from accidents, and receive reliable coverage and assistance.
