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Over de functie
As a Lead Data Engineer at Landal you are responsible for designing, developing, and maintaining scalable, reliable, and high-quality data pipelines and infrastructure. This role ensures that data flows efficiently from source systems into analytical and operational layers, enabling the company’s data-driven initiatives, advanced analytics, and AI use cases. It bridges data architecture, engineering, and analytics to make trusted data consistently available across the organization.
Dit ga je doen
As a Lead Data Engineer your tasks and responsibilities includes:
To Be Succesful In This Positon You Have
Together we do everything we can to offer our guests and our colleagues the best. If you participate, we will reward your work with;
As a Lead Data Engineer at Landal you are responsible for designing, developing, and maintaining scalable, reliable, and high-quality data pipelines and infrastructure. This role ensures that data flows efficiently from source systems into analytical and operational layers, enabling the company’s data-driven initiatives, advanced analytics, and AI use cases. It bridges data architecture, engineering, and analytics to make trusted data consistently available across the organization.
Dit ga je doen
As a Lead Data Engineer your tasks and responsibilities includes:
- Lead the design and implementation of data pipelines from ingestion to consumption using Databricks, DBT, and surrounding tooling/stack;
- Define and maintain data architecture and modelling standards (e.g., Kimball, Data Vault);
- Ensure pipeline reliability, performance, and cost efficiency across environments (Test, Acceptance, Production);
- Collaborate with platform engineers on CI/CD automation, version control, and environment promotion.Implement data quality and monitoring frameworks (DBT tests, Great Expectations, Delta expectations);
- Work with governance teams to ensure lineage, metadata, and GDPR compliance through Unity Catalog and other tools;
- Partner with Analytics Engineers, AI teams, and business stakeholders to make high-quality data available for analytics and products;
- Mentor data engineers and drive adoption of best practices in coding, testing, and documentation;
- Contribute to the Data Platform roadmap and support technical evaluations of new tools and frameworks.
To Be Succesful In This Positon You Have
- 6+ years of experience in data engineering, with at least 1 in a senior or lead role;
- Deep hands-on experience with Databricks (Python/PySpark, Delta Lake, Unity Catalog) and DBT;
- Strong proficiency in SQL, data warehousing concepts, and performance tuning;
- Experience with Azure InfraAzure Data Factory, ADLS, Synapse, or Fabric preferred;
- Familiarity with Power BI or similar BI tools as a consumer layer. Familiar with the concept of Data Products and iterative development;
- Proven ability to translate business requirements into robust technical solutions;
- Excellent collaboration and communication skills, especially across Data, IT, and Business teams.
Together we do everything we can to offer our guests and our colleagues the best. If you participate, we will reward your work with;
- An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently;
- A salary between € 4,808 and € 6,869 gross per month on a full-time basis*;
- A bonus scheme;
- A company car or a mobility budget;
- 27 days' holiday for a full-time working week* with the option to purchase 10 additional days off;
- Flexible working hours and the possibility of (partly) working from home;
- Working from home allowance of €2,45 per home working day;
- Training and education options;
- Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half;
- Possibility of paid additional maternity and parental leave;
- Various group insurance policies, including free continuous travel insurance for you and your family;
- A favorable staff booking scheme.
- A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.
Key Skills
Ranked by relevance
unity
ai
data warehousing
power bi
gdpr
cicd
sql
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- Posted
- Feb 25, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Amsterdam
- Company
- Landal
Industries
Travel Arrangements
Categories
Information Technology
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3 roles aligned with this opportunity
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2026-05-23
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View Job Details
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Tech Delivery Lead (Mobile Apps - React Native)
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