Netherlands Job Openings

Eneco
Tech lead Data
Rotterdam
FULL TIME & PART TIME
October 15, 2024
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> 5 years
-
32 - 40 uur
-
Data, Digital & Tech
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€84.000 - €120.000
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You will have the opportunity to work on complex ingestion issues with cutting-edge technologies such as Azure Data Factory, Kubernetes, Snowflake
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You will become part of the frontrunner in the energy transition, where you contribute to a more sustainable future by building on the growth and development of Eneco's integration platforms
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You get the opportunity to make Eneco a digital first company
At Eneco, we want to help everyone to take the next sustainable step. And we are looking for the best people who can make that possible. People who are enthusiastic about our mission of 'sustainable energy for everyone' and who want to further develop their talents at Eneco. We want everyone to be able to participate effortlessly in the energy transition. This can only happen if we better assist our customers, remove barriers for them to become more sustainable by listening and understanding their true needs.
Digital innovations help the market align supply and demand and make it as easy as possible for users. Data plays a crucial role in this. From the Data & Technology Services department, we are working to make Eneco a data-driven organization that bases its decisions and actions on customer, product, asset, and market data.
As Lead data engineer, you have an essential role in transforming Eneco's projects into stable, robust productionized data driven applications. The lead data engineer shapes the Data Engineering team together with the Product Owner and Manager. This requires a deep understanding of how data pipelines behave in production, and use this knowledge to enable implementation, optimization, and maintenance of complex data flows. You are an enabler who plays a pivotal role in the 'democratization' of data: you help to retrieve, store, transform and disclose data for use in data driven solutions.
- At least 5 years of relevant work experience in a Data Engineering role.
- Academic work and thinking level.
- For us, it is important that you bring experience with Cassandra, Postgre SQL. Timescale DB is nice to have.
- Next to this, we would like you to have experience in CI/CD, Snowflake, Azure, Kafka, Kubernetes and Java.
- Knowledge of concepts/components such as warehouse, data lake, data mesh, data vault, data fabric, and streaming solutions.
- Building and maintaining data pipelines, note that this may require working in the evening or weekend.
- Stay up to date with the latest technologies to deliver the most efficient solutions for the business.
- Support the Product Owner and Manager in growing and developing the Data Engineering team
- Act as thought leader on Data Engineering within the organization. This requires staying up to date on the latest developments.
For the recruitment of this position, we prefer to handle the process internally and do not wish to collaborate with external parties.
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