Remote job · IT and software
DataOps Engineer
Redcare Pharmacy
A large digital healthcare company
In one line: Data engineering role building cloud data pipelines on Azure and Databricks; remote in Germany, the Netherlands or Italy, or office-based.
- Remote (Germany)
- Posted 5 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job fky2ue4cd5About the role
Fits an engineer with a few years of data or software work who enjoys large datasets and distributed systems. The work feeds data and AI products, with CI/CD applied to analytics projects.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, Germany
- SeniorityMid-level
- SkillsAzure, Databricks, Apache Spark, Kafka, Flink, SQL, Python, Scala
- Posted5 Oct 2026
- Last checked18 Oct 2026
What you will do
- Design and build data pipelines that scale, and improve the data architecture.
- Deploy cloud-native solutions with Azure Data Services, Databricks and related big data tools.
- Work with other teams to understand their data needs and support future plans.
- Use CI/CD practices in analytics projects to speed up development and releases.
- Keep improving performance, scalability and security of the data systems.
What they look for
- Four or more years in data engineering, software development or similar, with large dataset work.
- Hands-on Azure or another public cloud, including Databricks or Apache Spark.
- Big data tools such as Kafka or Flink, plus SQL for analytics.
- At least one programming language, for example Python, Scala or Java.
- Interest in learning cloud-native and distributed architecture practices.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
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Questions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in Germany.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: four or more years in data engineering, software development or similar, with large dataset work; hands-on Azure or another public cloud, including Databricks or Apache Spark; big data tools such as Kafka or Flink, plus SQL for analytics. Skills it names include Azure, Databricks, Apache Spark, Kafka.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
How it works
- 1Upload your CVSign up with Google or your email and add your CV. It takes about a minute.
- 2We tailor your applicationKeywordise writes a CV and a cover letter for this job from your real experience.
- 3We apply for youYour application goes to the employer and you follow it in your dashboard.
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