If Insurance Baltic

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 &amp; 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?
<ul>
<li>Build and lead a distributed team of talented data engineers across the Nordic countries and Latvia.</li>
<li>Support the professional growth, engagement, and development of chapter members.</li>
<li>Set high standards for data ownership, quality, reliability, and delivery.</li>
<li>Foster a collaborative, supportive, and learning-oriented engineering culture.</li>
<li>Promote sound engineering principles, including reusability, automation, testing, security, and scalable data products.</li>
<li>Actively contribute to solution development while coaching and mentoring engineers in Azure Databricks.</li>
<li>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.</li>
<li>Establish chapter-wide engineering practices covering data quality, governance, CI/CD, Infrastructure as Code, and operational excellence.</li>
<li>Drive standardization, modular design, scalability, and cost efficiency across the Azure data platform.</li>
<li>Build strong engineering capabilities and communities of practice across teams and domains.</li>
</ul>
What do we expect from you?
You are proficient in:
<ul>
<li>Azure Databricks (PySpark/SQL)</li>
<li>DBT</li>
<li>Azure Data Factory</li>
<li>Cloud storage solutions</li>
<li>Modern data pipeline development</li>
<li>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.</li>
</ul>
In addition:
<ul>
<li>You have experience in Data modelling, Lakehouse architecture, Streaming, Data governance, Data quality and platform engineering.</li>
<li>You are passionate about Agile development, continuous improvement, and fostering a culture of learning, curiosity, and professional growth.</li>
<li>You hold a university degree in Software Engineering, Data Engineering, Computer Science, or a related field, or possess equivalent practical experience.</li>
</ul>
We offer
<ul>
<li>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.)</li>
<li>Strong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives</li>
<li>Career and development opportunities (e.g. 3 dedicated up-skilling days) in the biggest insurance company in the Nordics</li>
<li>Challenging and exciting projects with autonomy to plan own tasks</li>
<li>Extra vacation days, annual bonus, great insurance benefits, discounts on our products for you and your family, gifts, etc.</li>
<li>Possibility of hybrid work, where office is our primary workplace</li>
<li>A nicely renovated and ergonomic office in Vilnius</li>
</ul>
Read more about benefits for our employees.
Application deadline
:
October 30, 2026
Your application will be processed according to our
privacy notice.

Data Engineering Lead for MarTech (Azure Databricks)

Data Engineering Lead for MarTech (Azure Databricks)

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