Senior data engineer role at GVB, a Dutch public transport operator, designing and building data pipelines, datasets, and models for operational reports and dashboards, advising on architecture, coaching junior engineers, and supporting a data platform migration. Core stack: SQL, Python, Databricks, Azure/AWS, ETL orchestration, and CI/CD; fluent Dutch required.
Описание:
GVB provides public transportation services and develops dashboards and data solutions for its operations. The organization works with data engineers, business analysts, data analysts, platform teams, and other IT colleagues to improve its data platform and collaboration.
Задачи:
Design, build, and improve data pipelines and data integrations
Develop high-quality datasets and data models for reports and dashboards
Propose and explain technical solutions for complex data challenges
Advise the team lead on technical choices, standards, and improvements
Coach less experienced data engineers and share technical knowledge
Support data analysts with dataset access and effective use of the data platform
Contribute to architecture decisions, standards, and new data-engineering technologies
Support the migration of the data platform to a new version
Introduce new ways of working and improve technical development standards
Investigate complex data structures, dependencies, and processing flows
Design technically sound and maintainable solutions for performance, data, and source-integration issues
Coordinate data-engineering processes with data analysts, business analysts, architects, platform teams, suppliers, and management
Take ownership of solution quality and improve processes, pipelines, standards, and platform components
Ensure datasets are reliable, reusable, and manageable
Ensure architecture frameworks, security requirements, compliance requirements, data availability, and data integrity are maintained
Требования:
Higher professional or university education level, for example in Informatics, Computer Science, or a comparable field
7 Or more years of relevant work experience
Extensive experience with data modeling, including Kimball, Inmon, or one-big-table
Knowledge of SQL and Python and experience developing data pipelines
Knowledge of relational and non-relational databases
Experience orchestrating ETL pipelines
Experience with GIT and CI/CD, for example Azure DevOps pipelines
Experience with Databricks
Experience with cloud platforms such as Azure or AWS
Experience with data warehouse, data lake, and data integration concepts
Experience working in an agile environment
Fluent Dutch is required for effective communication within the team and with colleagues
Strong problem analysis and technical insight
Ability to work independently, take responsibility, collaborate across disciplines, and support colleagues with technical expertise
Nice to have: experience with dbt, experience within a data mesh framework, interest in data, public transportation, and modern data platforms
Условия:
13Th-month payment, 8% holiday allowance, 1.5% sustainable employability allowance, and pension through ABP
Free unlimited travel on GVB public transport and discounted travel for the entire family
Approximately 21 vacation days per year, depending on age, with the option to purchase additional days
Monthly healthcare insurance allowance of €84.91
Hybrid work and a home-working allowance
Training and career development opportunities
Relocation support is not specified