Data Engineering Lead, MarTech – Azure Databricks

If Insurance Baltic

. Build and lead a distributed team of data engineers across the Nordic countries and Latvia .

Posted 9/18/2026full-timeRiga • LatviaSenior💰 €5,000 - €7,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Azure Databricks, data pipeline development, and data governance while fostering a collaborative engineering culture. Capable of leading teams in building scalable, cost-efficient data products and implementing best practices in data quality and operational excellence.

Highest-signal resume keywords

Azure Databricks (PySpark/SQL)DBTAzure Data FactoryData GovernanceData Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingLakehouse ArchitectureStreamingPlatform EngineeringCloud Storage Solutions

Soft Skills

CoachingMentoringCollaborationContinuous Improvement

Tools & Technologies

CI/CDInfrastructure as Code

Industry Keywords

Agile DevelopmentData OwnershipData ReliabilityData DeliveryModular Design

Tech Stack

Tools & technologies

AzureCloudPySparkSQL

About the role

Key responsibilities & impact

Build and lead a distributed team of data engineers across the Nordic countries and Latvia
Support chapter members’ professional growth, engagement, and development
Set standards for data ownership, quality, reliability, and delivery
Foster a collaborative, supportive, and learning-oriented engineering culture
Promote reusability, automation, testing, security, and scalable data products
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
Establish engineering practices for 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 engineering capabilities and communities of practice across teams and domains

Requirements

What you’ll need

Proficiency in Azure Databricks (PySpark/SQL)
Proficiency in DBT
Proficiency in Azure Data Factory
Experience with cloud storage solutions
Experience with modern data pipeline development
Fluency in English
Understanding of one Baltic language
Experience in data modelling
Experience with Lakehouse architecture
Experience with streaming
Experience with data governance
Experience with data quality
Experience with platform engineering
Passion for Agile development and continuous improvement
University degree in Software Engineering, Data Engineering, Computer Science, or a related field, or equivalent practical experience

Benefits

Comp & perks

Annual bonus
Knowledge sharing, company events, interesting speakers, and other inspiring initiatives
Career and development opportunities
Challenging and exciting projects with autonomy to plan own tasks
Extra vacation days
Great insurance benefits
Discounts on products for employees and their families
Gifts
Hybrid work
Ergonomic home office compensation
Ergonomic office in the centre
24/7 gym on the premises in the Riga office
Business trips to Baltic and Nordic countries