Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
At Inetum, jobs usually come down by about day 27.
From 12,976 similar postings that came down, and 139 of Inetum’s. Coming down is not always a hire.
Data Engineer
Madrid, MD, Spain
Actively hiring, first seen by us 5 hours ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- Strong knowledge of SQL and NoSQL databases
Qualification wording
Strong knowledge of SQL and NoSQL databases
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Inetum is hiring
38 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Scala
- Shell
- SQL
- Elasticsearch
- Hadoop
- Kafka
- Kibana
- Kubernetes
- NoSQL
- S3
- Spark
- Airflow
Where the posting names them
- Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service. - Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations. - Set up CI/CD pipelines to automate deployments, unit testing and development management.
Good knowledge of: - Spark on Scala - CI/CD tools (Gitlab, Jenkins…)
- Oozie - Shell script - Software Development Lifecycle (SDLC) awareness
- CI/CD tools (Gitlab, Jenkins…) - HDFS and structured databases (SQL) - Apache Airflow
- S3 storage/COS and parquet (and ORC) format - Strong knowledge of SQL and NoSQL databases - Hadoop
Optionally/ as a plus: - Elasticsearch and Kibana - Streaming process (Kafka, event steam…)
The main responsibilities are: - Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service. - Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations.
- Strong knowledge of SQL and NoSQL databases - Hadoop Full understanding of:
- Elasticsearch and Kibana - Streaming process (Kafka, event steam…) - HVault
Some knowledge of: - Kubernetes containerization - Dremio as tool to virtualize data
- Apache Airflow - S3 storage/COS and parquet (and ORC) format - Strong knowledge of SQL and NoSQL databases
- Write and conduct unit and validation tests to ensure accuracy and integrity of code developed. - Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly). - Writing technical documentation (specifications, operational documents) to ensure knowledge capitalization.
- HDFS and structured databases (SQL) - Apache Airflow - S3 storage/COS and parquet (and ORC) format
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Inetum posted this job before?
Yes. We’ve followed 5 other Data Engineer jobs there since May 2026. One came down after 0 days. 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
Hybrid work mode in Madrid. This service could imply a willingness to travel occasionally within Italy.
The main responsibilities are:
- Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service.
- Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations.
- Set up CI/CD pipelines to automate deployments, unit testing and development management.
- Write and conduct unit and validation tests to ensure accuracy and integrity of code developed.
- Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly).
- Writing technical documentation (specifications, operational documents) to ensure knowledge capitalization.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Foster a culture of continuous learning and improvement within the team.
Qualifications
Good knowledge of:
- Spark on Scala
- CI/CD tools (Gitlab, Jenkins…)
- HDFS and structured databases (SQL)
- Apache Airflow
- S3 storage/COS and parquet (and ORC) format
- Strong knowledge of SQL and NoSQL databases
- Hadoop
Full understanding of:
- Oozie
- Shell script
- Software Development Lifecycle (SDLC) awareness
- Agile principles and ceremonies
- Design effective prompts to leverage Gen AI tools across IT domains (e.g., development, testing, data generation, documentation) during the development stage.
Some knowledge of:
- Kubernetes containerization
- Dremio as tool to virtualize data
Optionally/ as a plus:
- Elasticsearch and Kibana
- Streaming process (Kafka, event steam…)
- HVault
Additional Information
BUSINESS AND TRANSVERSAL SKILLS
- Knowledge of banking industry and processes
- Problem-Solving and Decision-Making person
- Business / IT relationship (including IT OPS)
- Ability to understand, explain and support change
- Ability to Deliver / Results driven
- Ability to collaborate / Teamwork with data squads and business teams
LANGUAGES
- English level C1
- Optionally Fench
Company Description
🚀 Join Inetum – We're Hiring a DATA ENGINEER! 🚀
At Inetum, a leading international digital consultancy, we empower 27,000 professionals across 27 countries to shape their careers, foster innovation, and achieve work-life balance. Proudly certified as a Top Employer Europe 2026, we’re passionate about creating positive and impactful digital solutions.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Madrid, MD, Spain
Job Description Hybrid work mode in Madrid. This service could imply a willingness to travel occasionally within Italy. The main responsibilities are:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.