Lead Analytics Engineer

Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region. 

We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users.

As a Lead Analytics Engineer, you'll join a large impactful team of data & analytics engineers, responsible for our entire data warehouse ecosystem. You'll lead our analytics engineering function, acting as the bridge between our core data pipelines and the business intelligence needs of our stakeholders. Your work will directly empower our analysts and business users with clean, reliable, and easily accessible data.

You are a passionate data professional with a deep technical background and a talent for leading others. This is a hands-on leadership role where you'll be responsible for building and scaling our data models, while also mentoring the team, setting best practices, and driving the technical roadmap. You'll work independently, delivering high-quality, well-documented solutions that directly serve our internal customers.You lead by example, elevate engineering practices, and drive technical excellence across domains.

Success in this role requires a high level of technical proficiency in modern data technologies and cloud-based environments, such as Databricks, AWS, Spark, Python, dbt and Airflow and deep expertise in data management and governance frameworks.

What we are looking for:

For this position, the ideal candidate has 12+ years of experience in analytics engineering, business intelligence, or data engineering, with a strong focus on data modeling and transformation.

Technical Skills:

• Solid hands-on experience using SQL and Python, with a track record of building & maintaining production-level data models.

• Strong experience with a modern cloud data warehouse like Databricks, Google BigQuery, Snowflake, or Amazon Redshift.

• Lead architectural and technical decisions for secure, performant, and scalable data products.

• Deep expertise with a modern data transformation tool like dbt (data build tool)

• Proven experience in data warehouse design and development, using dimensional modeling and other techniques for business intelligence.

• Experienced in AWS Cloud usage and data management (automation, data governance, cost optimisation, delivering reliable & scalable data solutions)

• Hands-on experience of building and maintaining Spark applications is a plus.

• Ensure data quality, schema governance and monitoring across pipelines.Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows.

• Drive the creation of reusable data products across multiple parts of the organisation. 

• Experience with unit testing and test automation frameworks for data quality.

• Familiarity with foundational data concepts such as Parquet and Delta Lake.

• Experience with BI and visualization tools (e.g., Looker, Tableau).

Leadership & Collaboration:

• Act as a technical leader, mentoring and guiding the analytics engineering team.

• Comfortable providing and receiving constructive feedback, particularly during code reviews.

• Ability to independently own and deliver high-quality, high-impact data projects from start to finish.

• Proactive and service-oriented towards our internal customers and business stakeholders.

• Strong written and verbal English communication skills, with a proven ability to communicate effectively with non-technical stakeholders and translate business needs into technical solutions.

Nice to Have:

• Experience with CI/CD processes for data projects, using tools like GitHub Actions or Jenkins.

• Experience with observability systems (such as Datadog or Prometheus/Grafana).

• Familiarity with infrastructure as code tools such as Terraform or CloudFormation.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits: 

• An attractive Base Salary 💸

• Participation in our Short-Term Incentive plan (annual bonus) 🏆

• Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍

• A 24/7 Employee Assistance Program for you and your family, because we care ❤️‍

• Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱 

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.