Data Engineer involved in major data transformation journey, building data products within Data Mesh concept in Stockholm.
About the role
- Data Engineer developing scalable data solutions across multi-cloud environments for clients. Mentoring junior engineers while ensuring data quality and promoting best practices within the team.
Responsibilities
- Design, build, and optimise scalable Databricks Lakehouse solutions across AWS, Azure, and GCP
- Develop robust data ingestion, transformation, and orchestration pipelines using Databricks (Spark, Delta Lake, Workflows)
- Build high-quality data models to support analytics, reporting, and AI/ML use cases
- Implement medallion architectures (bronze, silver, gold) and modern data engineering patterns
- Collaborate closely with clients to translate business requirements into well-architected, actionable data solutions
- Support or implement dbt, CI/CD pipelines, Git-based workflows, and engineering best practices
- Ensure strong data quality, governance, lineage, security, and performance optimisation within Databricks environments.
- Work alongside analytics, governance, and AI consultants to deliver cohesive, end-to-end solutions
- Contribute to reusable assets, accelerators, and internal frameworks that strengthen Intelligen’s Databricks capability
- Mentor junior engineers and positively influence client delivery and engineering standards
Requirements
- 4–6+ years’ experience in data engineering or analytics engineering
- Strong hands-on experience with Databricks (Spark, Delta Lake, Workflows), ideally in production environments
- Experience with at least one major cloud platform: AWS, Azure, or GCP
- Strong SQL skills and experience building complex data transformations
- Familiarity with modern data stacks — e.g. Databricks, Snowflake, dbt, cloud data lakes, orchestration tools
- Experience working across the full data lifecycle: ingestion → transformation → modelling → consumption
- Consulting, stakeholder-facing experience, or cross-functional delivery exposure
- Knowledge of DevOps concepts, version control, and/or CI/CD in data environments
- Excellent communication, problem-solving, and collaboration skills
- Sydney-based, with ability to work on-site with clients as required
- A mindset of curiosity, delivery excellence, and continuous learning
Benefits
- Work From Home - Flexible hours
- Training & Development
- Free Food & Snacks
- Many socials and community groups
- Opportunity to drive projects that are of interest to you!
Job title
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