Talan

Data Engineer

Madrid, MD, Spain

Actively hiring, first seen by us 5 hours ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Perform SQL-based data analysis, validation and reconciliation across sources
Implement data quality controls and resolve data inconsistencies
Develop and adapt data models and datasets for the Limits solution

From the employer’s posting

Perform SQL-based data analysis, validation and reconciliation across multiple data sources.

Implement data quality controls and investigate and resolve data inconsistencies.

Develop and adapt data models and datasets required for the Limits solution.

What you’ll bring

All qualifications

Core experience

2+ years of professional experience in Data Engineering, Big Data or similar environments.
Experience or knowledge in any of the following would be considered a plus:
Solid experience with Big Data / DataLake architectures.
Strong SQL skills for querying, analysis and data validation.
Hands-on experience with Python.
Experience developing ETL processes.

Qualification wording

2+ years of professional experience in Data Engineering, Big Data or similar environments.

Experience or knowledge in any of the following would be considered a plus:

Solid experience with Big Data / DataLake architectures.

Strong SQL skills for querying, analysis and data validation.

Hands-on experience with Python.

Experience developing ETL processes.

Apply at Talan

Posting record

Report an error

Actively 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

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 55.

At Talan, jobs usually come down by about day 9.

From 12,958 similar postings that came down, and 225 of Talan’s. Coming down is not always a hire.

Talan is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is steady
Takes jobs down quickly
22% of open jobs were reposted

Hiring record

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.

Python
SQL
AWS
Databricks

Where the posting names them

We are looking for a Data Engineer Analyst with at least 2 years of experience in Data Engineering or Big Data environments to join a data-driven project focused on the development and evolution of a DataLake and Limits solution. The ideal candidate combines strong hands-on experience with Python, SQL, ETL development and data pipelines with the analytical ability to understand complex data models, transformations, dependencies, and data quality requirements. Key Responsibilities

- Understand existing datasets, mappings and dependencies within the DataLake. - Develop, maintain and optimize Python processes, ETLs and data pipelines. - Build and maintain Control-M jobs and batch processing workflows.

- Strong SQL skills for querying, analysis and data validation. - Hands-on experience with Python. - Experience developing ETL processes.

- Develop and adapt data models and datasets required for the Limits solution. - Perform SQL-based data analysis, validation and reconciliation across multiple data sources. - Implement data quality controls and investigate and resolve data inconsistencies.

- Solid experience with Big Data / DataLake architectures. - Strong SQL skills for querying, analysis and data validation. - Hands-on experience with Python.

- Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. - Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. - Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

- Atoti / ActiveViam - Databricks - REST APIs and Microservices

Upload resume Add LinkedIn

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 Talan posted this job before?

Yes. We’ve followed one other Data Engineer job there since August 2026. It came down after 10 days.

LausanneCame down after 10 days, first seen Aug 17
This jobUp 0 days so far, first seen Nov 11

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.

August 17Last week

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

View original posting ↗

Job Description

We are looking for a Data Engineer Analyst with at least 2 years of experience in Data Engineering or Big Data environments to join a data-driven project focused on the development and evolution of a DataLake and Limits solution.

The ideal candidate combines strong hands-on experience with Python, SQL, ETL development and data pipelines with the analytical ability to understand complex data models, transformations, dependencies, and data quality requirements.

Key Responsibilities

Analyze and understand existing data models, data flows and transformation processes.
Understand existing datasets, mappings and dependencies within the DataLake.
Develop, maintain and optimize Python processes, ETLs and data pipelines.
Build and maintain Control-M jobs and batch processing workflows.
Implement data ingestion, transformation and processing logic.
Develop and adapt data models and datasets required for the Limits solution.
Perform SQL-based data analysis, validation and reconciliation across multiple data sources.
Implement data quality controls and investigate and resolve data inconsistencies.
Support testing, certification, deployment and production releases.
Create and maintain technical documentation covering data models, processes, mappings and transformations.
Collaborate with technical and functional teams to ensure data solutions meet business and technical requirements

Qualifications

Mandatory Requirements

2+ years of professional experience in Data Engineering, Big Data or similar environments.
Solid experience with Big Data / DataLake architectures.
Strong SQL skills for querying, analysis and data validation.
Hands-on experience with Python.
Experience developing ETL processes.
Knowledge of data ingestion and transformation processes.
Experience developing and maintaining data pipelines.
Good understanding of data modeling concepts.
Experience with Control-M and/or batch processing.
Strong skills in data analysis, validation and reconciliation.
English level B2 or above.

Nice to Have

Experience or knowledge in any of the following would be considered a plus:

Atoti / ActiveViam
Databricks
REST APIs and Microservices
Jira / Confluence
Financial services or banking environments
Counterparty Risk / Limits concepts

Additional Information

What do we offer you?

B2B or employment contract
Remote within CET Time zone.
Possibility to be part of a multicultural team and work on international projects.

If you have read this far and you are looking forward to joining this challenge, do not hesitate to apply... we would be delighted to meet you!

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

Company Description

Company Description

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Source details