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Data & AI Engineering Lead

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Pay not listed
Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Lead design and development of the Energy Trading data platform and mentor data engineers

  • Build and optimize AWS-based data pipelines and architectures

  • Design cloud-native data architecture and infrastructure as code

  • Build dashboards, data models and analytics for Trading, Risk and Operations

  • Drive AI/ML adoption for forecasting, automation, optimization and anomaly detection

From the employer’s posting
Own and lead the design and development of the Energy Trading data platform and operational data perimeter while leading and mentoring data engineers, analysts, and developers
Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures.
Design and manage cloud-native data architectures and infrastructure, leveraging IaC
Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
Drive the adoption of AI/ML solutions for forecasting, automation, optimization, and anomaly detection.

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in data engineering, analytics engineering, or cloud data architecture
  • Expertise in ETL/ELT design, data modeling, and distributed data processing
  • Proficiency in Python and SQL for data engineering and analytics
  • Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
  • Strong understanding of data governance, metadata management, and data quality frameworks
  • Experience with Infrastructure as Code (Terraform, CloudFormation, CDK)
Qualification wording
7+ years of experience in data engineering, analytics engineering, or cloud data architecture
Expertise in ETL/ELT design, data modeling, and distributed data processing
Proficiency in Python and SQL for data engineering and analytics
Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
Strong understanding of data governance, metadata management, and data quality frameworks
Experience with Infrastructure as Code (Terraform, CloudFormation, CDK)

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 8, 2026

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 3

Early. Similar jobs usually come down between day 6 and day 54.

From 11,532 similar postings that came down. Coming down is not always a hire.

Engie Information Technologies SA is hiring

14 open jobs

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

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
  • Grafana
  • Power BI
  • Redshift
  • S3
  • Terraform
Where the posting names them
- Expertise in ETL/ELT design, data modeling, and distributed data processing - Proficiency in Python and SQL for data engineering and analytics - Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
Mission You will lead the design and implementation of scalable ETL pipelines, data models, analytics platforms, and dashboards using AWS technologies. Beyond technical execution, you will champion an AI‑oriented approach—identifying opportunities to apply machine learning, automation, and intelligent insights to improve decision‑making and operational efficiency. This is a senior, hands‑on leadership role requiring deep expertise in cloud data engineering, strong architectural thinking, and the ability to collaborate closely with business stakeholders, traders, and IT teams. You will shape the data strategy, ensure data quality and reliability, and deliver high‑impact analytical capabilities that empower the business.
- Design and manage cloud-native data architectures and infrastructure, leveraging IaC to deliver scalable, secure, high-performance, and cost-effective data solutions. - Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures. Ensure data quality, governance, lineage, security, and compliance across the full data lifecycle. - Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
- 7+ years of experience in data engineering, analytics engineering, or cloud data architecture - Strong hands‑on experience with AWS data services (Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, Step Functions) - Expertise in ETL/ELT design, data modeling, and distributed data processing
- Proficiency in Python and SQL for data engineering and analytics - Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar - Strong understanding of data governance, metadata management, and data quality frameworks
- Strong understanding of data governance, metadata management, and data quality frameworks - Experience with Infrastructure as Code (Terraform, CloudFormation, CDK) - Familiarity with machine learning workflows and AI‑driven solution design

Your next step

Complete your application on jobs.engie.com. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,312, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 ↗

Our Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.

At ENGIE, every person plays a key role in accelerating energy transition.
Make a difference and live a meaningful professional experience.
Take on exciting challenges, grow in an innovative environment, and build a career that reflects who you truly are.

Join us and be part of the adventure of the century!

For our headquarters in Madrid, we are looking for a  Data & AI Engineering Lead to architect, build, and evolve our operational data perimeter supporting Energy Trading activities. This role is central to transforming raw operational data into reliable, actionable intelligence through modern cloud‑native data engineering, analytics, and AI‑driven solutions.

 

Mission

You will lead the design and implementation of scalable ETL pipelines, data models, analytics platforms, and dashboards using AWS technologies. Beyond technical execution, you will champion an AI‑oriented approach—identifying opportunities to apply machine learning, automation, and intelligent insights to improve decision‑making and operational efficiency.

This is a senior, hands‑on leadership role requiring deep expertise in cloud data engineering, strong architectural thinking, and the ability to collaborate closely with business stakeholders, traders, and IT teams. You will shape the data strategy, ensure data quality and reliability, and deliver high‑impact analytical capabilities that empower the business.

Functions

  • Own and lead the design and development of the Energy Trading data platform and operational data perimeter while leading and mentoring  data engineers, analysts, and developers involved in data initiatives.
  • Design and manage cloud-native data architectures and infrastructure, leveraging IaC to deliver scalable, secure, high-performance, and cost-effective data solutions.
  • Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures. Ensure data quality, governance, lineage, security, and compliance across the full data lifecycle.
  • Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
  • Drive the adoption of AI/ML solutions for forecasting, automation, optimization, and anomaly detection.
  • Collaborate with business and technology stakeholders to translate requirements into impactful data solutions.
  • Oversee the reliability, availability, and performance of the cloud data platform.

Minimum requirements

  • 7+ years of experience in data engineering, analytics engineering, or cloud data architecture
  • Strong hands‑on experience with AWS data services (Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, Step Functions)
  • Expertise in ETL/ELT design, data modeling, and distributed data processing
  • Proficiency in Python and SQL for data engineering and analytics
  • Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
  • Strong understanding of data governance, metadata management, and data quality frameworks
  • Experience with Infrastructure as Code (Terraform, CloudFormation, CDK)
  • Familiarity with machine learning workflows and AI‑driven solution design

 

Committed to inclusion

At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon-neutral economy achieved by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth.

What we will provide

  • We will provide you with training plans adapted to your needs and interests.
  • You will have a flexible schedule and a hybrid work system + reduced working days during summer and Fridays.
  • You will have the chance to adhere to corporate benefits and e-Plan (transport card, kindergarten, training, meal, health insurance among others).
  • You will be part of a dynamic team in which you will truly develop and grow as a professional.
  • You will work with a multidisciplinary team that will support you at all times.
  • You will be part of a network of more than 96,000 professionals working to create a more sustainable world.

 

ENGIE is the answer if...

- You are looking for a solid professional project with professional projection.

- You value being part of the first independent energy group in the world.

- You want to grow and develop within a dynamic and challenging company.

- If you consider that your work, together with the efforts of the people who are part of the company, can and should have a positive impact on the environment.

If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you!

#INGENIERAS2026

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Pay

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Location & working pattern

Madrid, ES, 28042

- We will provide you with training plans adapted to your needs and interests. - You will have a flexible schedule and a hybrid work system + reduced working days during summer and Fridays. - You will have the chance to adhere to corporate benefits and e-Plan (transport card, kindergarten, training, meal, health insurance among others).
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