Senior Data Engineer

Do you want to make an impact with data and help others grow?

At Valcon, we are looking for a Senior Data Engineer who is not only technically strong but also enjoys growing to a higher level together with the team.

Data & AI Strategy

Valcon places data at the center of client engagements and focuses on AI and data-driven business transformation.

What will you do?

In this role, you will work on designing and optimizing smart data infrastructure. You will be given the space to supervise projects from start to finish, from translating needs to delivering the solution.

• Build together: You develop pipelines and architectures (ETL/ELT) so that data flows efficiently. You will work closely with other data engineers, data scientists, analysts and the business to link technical solutions to organizational goals.

• Innovate and improve: You provide scalable solutions for large amounts of data. With your experience, you apply DevOps and CI/CD principles to make work easier and better. In addition, you take the lead in exploring new tools and techniques.

• Mentorship: You like to share your knowledge. You guide junior colleagues in their development and contribute to a culture in which we learn from each other.

What do we offer you

We think it is important that you feel at home and are given the space to be yourself.

• Personal growth: A tailor-made growth path with training, certifications and mentoring.

• Balance: A workplace that respects your work-life balance. Think of flexibility, such as the possibility of a sabbatical or extending your vacation days.

• Appreciation: A permanent contract after six months, a good salary, bonuses and an expense allowance.

• Mobility: A mobility budget or a lease car.

• Health and fun: An affordable sports subscription (choice of 50 sports) and a lively community with fun events.

• The opportunity to work remotely from abroad for 10 days per year.

Who are you?

You are someone who likes to take initiative and can clearly translate complex issues into practice.

Experience

• A completed technical college or university education

• At least 3+ years of experience in data engineering, preferably including leading projects.

• Experience with programming languages such as Python, SQL or Scala and frameworks such as Apache Spark.

• Knowledge of building data pipelines and data platforms such as Databricks, Microsoft Fabric or Snowflake.

• Experience with cloud platforms such as Azure, AWS or Google Cloud and databases (SQL/NoSQL).

• You like exploring new and upcoming technologies such as DBT, Fivetran, Clickhouse, Dagster or open source technologies.

• Being familiar with streaming frameworks such as Kafka or data governance frameworks is a bonus.

• You communicate effectively in both Dutch and English.

• Please note: You are currently living in the Netherlands and have a valid working permit.

Keywords

• ETL/ELT, Python/SQL, Azure/AWS, Databricks/Snowflake, DevOps, CI/CD, Mentorship, Infrastructure Optimization