Data Engineering Lead (Azure Databricks)
Leads and coaches a new MarTech data engineering team at If Insurance, delivering reliable data products and services on Azure Databricks (PySpark/SQL, dbt, Azure Data Factory) in an Agile/DevOps environment supporting CRM and marketing personalization. Hybrid role based in Stockholm, Turku, or Espoo with at least three office days per week.
- Compensation
- Not disclosed
- Location
- Stockholms län, Sweden
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proficiency in Azure Databricks (PySpark/SQL)
- Proficiency in DBT
- Proficiency in Azure Data Factory
- Proficiency in cloud storage solutions
- Experience in modern data pipeline development
- Fluency in English, able to make complex technical concepts understandable for engineers and business stakeholders
- Several years of practical experience in end-to-end data engineering, preferably in a lead role within a large-scale cloud environment
- Experience in data modelling, Lakehouse architecture, streaming, data governance, data quality and platform engineering
- Passionate about Agile development, continuous improvement, and fostering a culture of learning
- University degree in Software Engineering, Data Engineering, Computer Science, or a related field, or equivalent practical experience
Nice to have
- Experience coaching, leading and mentoring data engineers / building high-performing teams
Full description
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.