Big Data Engineer (Cloud)
Posted on Aug 25, 2021 by Empiric Solutions
Empiric are currently looking for Big Data Engineers for a long-term freelance project working with one of our Dutch market-leading clients.
This role will initially be a contract duration of 12 months (however is extendable long-term). It will be a remote working assignment with occasional onsite visits to the clients' offices in Amsterdam.
The experienced Data Engineer will work on the collecting, storing, processing and analysing of large amounts of data. The core focus will be on integrating, maintaining, configuring, implementing and monitoring big data components such as Apache Spark, Apache Kafka, NiFi, etc.
- Minimum 3 years experience working as a Data Engineer
- In depth knowledge and experience working in a production environment
- Experience in building prodction applications with Spark & Kafka
- Experience with Data processing, transformation & storage
- Proven experience with storage solutions like Hive, Parquet, Delta Lake; inc. knowledge about Datamodelling for columnar storage
- Experience with integration of data from multiple data sources
- Hands on development experience, preferably in a Scrum, Agile setting, & CI/CD
- Programming experience with Scala
- SQL experience
Nice to have experience:
- Azure experience
- K8s experience
- Experience leading a team
- Fast learner
- Good communication
If you would like to apply for this opportunity working for on a long-term, remote project working for a market-leading client, please apply via this jobboard.
Also feel free to get in touch with me directly at (see below).
Empiric is one of the fastest-growing technology and transformation recruitment agency's specialising in data, digital, cloud and security. We supply technology and change recruitment services to businesses looking for both contract and permanent professionals. We are committed to delivering more female candidates and those from minority backgrounds and be instrumental in changing the gender and diversity imbalance within the tech sector.