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Senior Data Engineer (Databricks)

NetherlandsInformation Technology

Job description

The Company – Milence

Established in July 2022, we are dedicated to making the future of road transport fossil-free. By building and managing reliable and secure high-performance charging solutions, our mission is to support and accelerate the transition to zero-emission heavy-duty vehicles in Europe. The team is working quickly to scale up operations and network deployment.

As a fast-growing company, we want to build diverse teams who are dedicated to our vision: a world of fossil-free transport, which will go on to combat climate change.

With a focus on sustainable growth and the best possible collaboration among all stakeholders, we are looking for colleagues eager to make an impact and ready to support and accelerate the zero-emission future of road transport in Europe.

While our Dutch offices are in Amsterdam and Arnhem, our focus is distinctly pan-European and our team is growing throughout the continent.

The Department

The Information Technology Team is responsible for the end-to-end support and development of all digital products and services needed to achieve our mission and support our clients and colleagues in the best way possible.

Our stack is Azure based and hosted and we are ramping up from a near greenfield situation. We are looking to quickly set up a scalable infrastructure, a state-of-the-art DevSecOps process and to get all necessary business IT solutions in place. We will be working with fantastic data sets to facilitate and monitor charging sessions, network location planning, route optimization, real-time reservations, and smart charging.

We will implement and integrate solutions for the many capabilities we need as a company, such as Asset Management, Operations Centre, Deployment management and many others.

The Job

As a Senior DataOps Engineer, you will design, build and maintain scalable and efficient data pipelines. You will ensure the smooth flow of data from various sources into the data lake or warehouse and drive efficient data processing and analytics.

You will warrant the reliability, scalability, and performance of our data infrastructure.

To gather requirements and implement data integration and transformation processes, you will collaborate with data engineers, data scientists, and other stakeholders. You will work with DevOps teams to automate deployment, monitoring, and scaling of Databricks clusters and associated infrastructure.

You will provide technical guidance and support to team members. You promote best practices in data engineering and ensure adherence to coding standards and documentation.

Your responsibilities will include to:

  • Optimise and fine-tune data pipelines to enhance performance, scalability, and reliability.
  • Develop and maintain data models and schemas. You will support data processing and analytics, ensure data consistency and adherence to best practices.
  • Monitor and troubleshoot data pipeline issues, performance bottlenecks, and data quality problems.
  • Implement data governance and data lineage processes. Ensure the traceability and documentation of data movement and transformations.
  • Implement and maintain data security and access controls within Databricks. Ensure compliance with data privacy regulations and company policies.

You will be expected to stay up-to-date with the latest advancements. You will evaluate and recommend tools and techniques to improve data processing efficiency and scalability.

The job will be based in our Amsterdam and/or Arnhem office.

Job requirements

Who are we looking for?

You have at least 3 years of experience in data engineering or data operations roles, with a focus on Databricks (including cluster management, job scheduling, and performance optimization).

You are proficient in SQL and data modelling concepts and in using data lineage tools such as Purview, Apache Atlas, or Collibra.

You have hands-on experience with cloud environments (particularly Azure), and you are familiar with related services such as Azure Data Lake, Azure SQL Data Warehouse, or Azure Synapse Analytics.

Experience with additional data technologies such as CosmosDB, Kafka, Snowflake, graph databases, or semantic web databases is a plus.

You have a bachelor's degree in computer science, engineering, or a related field would be beneficial.

Your English is excellent (and if you do not speak Dutch that is fine).

You look forward to learning new things and pick them up quickly, this includes -new skills, environments, people skills and are resilient.

You underline our mission and values (specifically: reliable, sustainable and fast-paced).

You radiate energy, are a positive thinker and easily connect with others in informal ways.

We are especially interested in diverse candidates.

What we offer:

We offer the opportunity to join us at the unique starting phase of a new company with a real purpose, high aspirations and strong team spirit. You can be there as it begins.

You will be part of a high-energy environment in which you can help shape various aspects. You will learn every day and have ample room for personal development and support.

We want you to join our company for a career – not for just a job – and support your personal career ambitions in or outside your department.

The base salary level (all in) is oriented towards 80.000 EUR; The on target annual incentive is 20% - with a maximum of 40%.
Furthermore, we offer a comprehensive pension plan and unlimited vacation days.

We have flexible (hybrid) working arrangements.

Ready to charge the future?

Then it’s time to apply! If you have any questions about the position, contact us via

Please submit your resumé in English.


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