Data Engineer Consultant

Making Science Group S.A.; España; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Indefinite contract

Competitive fixed salary + performance

Flexible payment plan

Ambassadors Program

Flexible hours

One remote day per week

Training & language classes

24 vacation days + holidays

Job summary

Making Science is seeking a data engineer to design and implement cloud-based data architectures on AWS, building scalable ETL/ELT pipelines and managing data lakes and warehouses. You will collaborate with analysts, scientists, and DevOps across international teams, contributing to data governance and security.

The role offers a hybrid work model with opportunities for growth and hands-on training. You will leverage AWS Glue, S3, Redshift, DynamoDB, and Athena, while advancing data modeling,

Qualifications

• Experience with AWS data and compute services (AWS Glue, S3, Lambda, Step Functions, Redshift, DynamoDB, Athena).
• Proficiency in Python or another major programming language.
• Understanding of data lake, data warehouse, and cloud-native data architectures.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Familiarity with CI/CD pipelines, DevOps practices, monitoring, and observability (CloudWatch).
• Knowledge of data governance, security best practices, IAM, and compliance requirements.
• Strong communication skills in English for working with international teams and customers.
• Ability to collaborate with technical and non-technical stakeholders.
• Experience with Agile methodologies.
• Analytical mindset and problem-solving.

Responsibilities

• Design and implement cloud-based data architectures on AWS.
• Build, maintain, and optimize ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and related services.
• Develop and manage data lakes and data warehouses using S3, Redshift, DynamoDB, and Athena.
• Create and maintain data models and schemas for analytics, reporting, and operational use cases.
• Ensure data quality through validation, monitoring, and automated error-handling.
• Optimize data solutions for performance, reliability, and cost efficiency.
• Collaborate with data analysts, data scientists, DevOps, and other engineering teams.
• Participate in Agile ceremonies, helping estimate tasks, identify risks, and plan technical work.
• Troubleshoot data issues and support customer-facing teams with technical insights.
• Document architectural decisions, data workflows, and implementation guidelines.

Skills

AWS data services

Python

Data architectures

CI/CD

DevOps

CloudWatch

IAM & security

Agile

English communication

Data governance

Tools

Terraform

CloudFormation

AWS tools

Monitoring (CloudWatch)

VCS/CI tools

Job description

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation.
Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future.
As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation.
Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.

The First Party Data/DataOPs Business Unit is an expert provider of tailored information technology solutions. We are pioneers in the application of Big Data, Cloud and Machine Learning technologies to meet real-time business challenges and are continuously innovating in these areas, evaluating and incorporating the latest tools. The technical environment is demanding whereby our solutions are deployed in very large companies supporting billions of events processed per day and millions of concurrent user sessions. Being a very early adopter, the Company has been leveraging some of the latest technologies in the area of Big Data and machine learning over the past 10 years.

We believe in the power of diversity and the value of inclusion.At Making Science, our unique experiences, backgrounds, and perspectives are what drive our innovation and success. We are dedicated to providing an equitable hiring process and an inclusive work environment where all individuals are respected and feel they belong. Join us and bring your whole self to work!

What we'd like you to do

Design and implement cloud-based data architectures on AWS.

Build, maintain, and optimize ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and related services.

Develop and manage data lakes and data warehouses using Amazon S3, Redshift, DynamoDB, and Athena.

Create and maintain data models and schemas for analytics, reporting, and operational use cases.

Ensure data quality through validation, monitoring, and automated error-handling.

Optimize data solutions for performance, reliability, and cost efficiency.

Collaborate with data analysts, data scientists, DevOps, and other engineering teams.

Participate in Agile ceremonies, helping estimate tasks, identify risks, and plan technical work.

Troubleshoot data issues and support customer-facing teams with technical insights.

Document architectural decisions, data workflows, and implementation guidelines.

What we'd like you to bring

Strong experience with AWS data and compute services (AWS Glue, S3, Lambda, Step Functions, Redshift, Athena, DynamoDB).

Proficiency in Python or another major programming language.

Understanding of data lake, data warehouse, and cloud-native data architectures.

Experience with Infrastructure as Code (Terraform or CloudFormation).

Familiarity with CI/CD pipelines, DevOps practices, monitoring, and observability (CloudWatch).

Knowledge of data governance, security best practices, IAM, and compliance requirements.

Strong communication skills in English for working with international teams and customers.

Ability to collaborate effectively with technical and non-technical stakeholders.

Experience working with Agile methodologies.

Analytical mindset, problem-solving skills, and eagerness to learn and adapt.

Recommended: AWS certifications (Data Engineer Associate, Solutions Architect, or Developer).

Nice to have

Experience working with Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Functions, Dataform o Cloud Composer.

Understanding of how to translate or migrate data workflows between AWS and GCP.

Familiarity with multi-cloud architectures or hybrid cloud setups.

Perks of joining us

We give you complete stability with an indefinite job contract.

We offer a fixed salary according to your worth and experience, plus a performance based bonus.

Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance).

Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they're hired!

Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.

The opportunity to meet our international team with our Ambassadors Program.

We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home.

You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more.

Pack your bags! You'll have 24 vacation days, plus 24th and 31st of December are off.

Work comfortably and follow your own style, because we don't have a dress code.

We know how to have a good time!

Never go hungry with our free daily fruit and our vending machine card!

Take a break on our terrace, play foosball, darts, or PlayStation

Be a part of a young, adventurous, and professional team, with people you'll grow fond of!