DataOps Engineer
DataOps Engineer
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Job Description
Were Hiring: Data Engineer
Join our international and agile digital consultancy! We are looking for a skilled Data Engineer to join our team in a hybrid work model based in Madrid. If youre passionate about data pipelines cuttingedge technologies and creating a positive impact this role is for you.
About the Role
As a Data Engineer you will be responsible for:
- Building and maintaining data pipelines with Spark on Scala to process data from diverse sources like Kafka topics APIs and HDFS.
- Ensuring data quality and consistency for robust decisionmaking.
- Implementing and managing CI/CD pipelines using tools like GitLab and Jenkins.
- Setting up orchestration processes with Apache Airflow to automate data pipelines.
- Collaborating on production support incident resolutions and continuous code improvements.
- Writing technical documentation to support knowledge sharing and team growth.
Qualifications :
Tech Stack Highlights
- Spark on Scala Apache Airflow Kafka SQL HDFS and S3 Storage.
- CI/CD tools (GitLab Jenkins etc.).
- Exposure to Kubernetes Elasticsearch Dremio Shell scripting and Dataiku is a plus.
What We Look For
- Experience in data engineering preferably within the banking industry.
- Strong skills in team collaboration problemsolving and a resultsdriven mindset.
- Fluency in English (C1 or higher) this is a must as English is the daily working language.
- French (B1) is a bonus.
Location: Hybrid work model in Madrid capital.
Additional Information :
Ready to take your career to the next level Apply now and be part of our digital journey!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
