Data Engineer

Mediaprobe; Maia; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Gym/Padel lessons

Psychology sessions

Food allowance (Coverflex meal card)

Hybrid work model

Team events and coffee breaks

Job summary

Mediaprobe is seeking a Data Engineer to design, build, and maintain robust data pipelines powering analytics and ML models. You will collaborate with data scientists and product teams to ensure data quality and availability across the organization.

The role emphasizes developing scalable data infrastructure, working in a hybrid Office/Remote setup at Parque TecMaia, and advancing the company’s media measurement platform with cutting-edge technologies.

Qualifications

• Experience in data engineering, data infrastructure, or similar field.
• Proficiency in Python and SQL; strong SQL skills.
• Experience with cloud platforms (AWS preferred) and streaming data.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and manage data models and databases for BI and ML.
• Collaborate with cross-functional teams to ensure data integrity.
• Optimize data systems for performance, scalability, and cost.
• Ensure data security and privacy compliance.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

System design

Data quality

Tools

Mage.AI

Apache Airflow

PySpark

dbt

Kafka

BigQuery

Snowflake

Redshift

Job description

Skip to content

Data Engineer

Data Engineer

• Hybrid

Mediaprobe is looking for a Data Engineer who possesses a minimum of 3 years of experience in data engineering, data infrastructure, or a similar field.

Mediaprobe is a media measurement company, playing at the forefront of the industry, by revolutionizing the way emotional impact is measured and quantified in media .

As a Data Engineer, you will play a key role in designing, building, and maintaining robust and scalable data pipelines that power our analytics and machine learning models. You will work closely with our data scientists and product teams to ensure high data quality and availability.

We are breaking new ground in the media measurement field, and we are confident that your unique data-driven experience and know-how can contribute to the advancement of our journey in moving the industry forward .

Interested in knowing more?

Joining us means becoming a core member of the Innovation, Data & Science team, reporting directly to the CSO and helping Mediaprobe build the backbone of our data infrastructure to deliver innovative insights to global media brands.

Is it you we’re looking for?

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines;
• Develop and manage data models and databases to support business intelligence and data science;
• Collaborate with cross-functional teams to understand data requirements and ensure data integrity;
• Optimize data systems for performance, scalability, and cost;
• Ensure data security and compliance with privacy standards.

Requirements

Must have:

• Solid experience with data engineering tools and frameworks (e.g.: Mage.AI , Apache Airflow, PySpark, dbt);
• Proficiency in Python and SQL;
• Experience with cloud platforms (preferably AWS);
• Experience with streaming data (e.g., Kafka)
• Familiarity with data warehouse technologies (e.g., BigQuery, Snowflake, Redshift);
• Strong understanding of data modeling, data quality, and system design.

Nice to Have:

• Knowledge of DevOps tools and CI/CD practices;
• Familiarity with data warehouse technologies (e.g., BigQuery, Snowflake, Redshift);
• Familiarity with ML Ops or collaboration with machine learning teams;
• Familiarity with cluster management (preferably Kubernets )
• Previous work in media, advertising, or biometric data domains.

Ready to unlock a world full of opportunities and enticing benefits?

• Health insurance to keep you safe;
• Gym/Padel lessons to keep you active;
• Psychology sessions for a healthy mind;
• 12 months of Food Allowance because we like to go beyond the basic - 10.20€ for each working day in Coverflex meal card (the maximum amount, tax free!);
• Mensal allowance for flexible expenses of your taste (such as technology, sports groups, well-being, education expenses, retirement & investment, public transportation, and much more!);
• Hybrid work model to ensure camaraderie and freedom (our office is at Parque TecMaia);
• A team that thrives on a perfect blend of flexibility and energizing atmosphere;
• And, of course, plenty of parties and coffee breaks to make sure the fun never fades - It's part of our DNA.

The interview process for this role consists of 3 (/at least 3) stages:

• Initial Screening: In this first interview, with the People & Culture team and the Team/Tech leader. We will review your experience and background, assess your fit for the role, and provide an overview of the project you’ll be working on, helping you understand how it aligns with your career goals.
• Technical interview/challenge: In the second stage, you will participate in a technical interview with our data engineer team. The focus will be on your experiences and abilities in data engineering . We will send you a small challenge to do at home.
• Technical interview result: In the third stage, you can show us your challenge code and discuss it with the data engineer team. The focus will be on the methodology and skills, not in the result.

If you thrive in a vibrant, rapidly expanding organization, enjoy making a meaningful impact, and assisting our clients to achieve success, this opportunity is perfectly suited for you.

Embrace the future of media measurement DaaS with us - where your skills meet innovation, and your ambitions find a home.

Cover Letter: [If you would like to send a letter of motivation, please send it directly to [e-mail]]

Note:

At Mindprober S.A. doing business as Mediaprobe, we are committed to creating a workplace where fairness, equality, and inclusivity thrive. As an Equal Pay Seal 2024 (Selo da Igualdade Salarial) company, we ensure equal pay for work of equal value - because every voice matters, and every contribution counts.

• Job Category

Innovation, Data & Science

• Job Type

Full Time

• Job Location

Hybrid