Data Engineer

Agilytic srl; Brussel; Hybride; EUR 55 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive package

Mobility budget

Phone subscription

Laptop

Meal vouchers

Remote working options

Training and development

Transparent feedback culture

Résumé du poste

Agilytic srl is hiring a Data Engineer to join our Platform Engineering & BI practice. You will build and maintain scalable data infrastructure used by data scientists and analysts to deliver client value.

Regular client presence is required, with flexible, hybrid working arrangements, and our Brussels office hosts weekly team exchanges. You will design cloud data architectures, integrate data sources, and optimize data warehouses for reporting and advanced analytics.

Qualifications

• Master's degree in a quantitative field.
• 3+ years of professional Data Engineer experience with big data platforms.
• Hands-on with cloud environments (Azure / AWS / GCP) or end-to-end BI projects.
• Willingness to learn new tools and techniques.

Responsabilités

• Conceive and build maintainable cloud data architectures (ETL, infra-as-code).
• Integrate data sources by developing data pipelines.
• Create large data warehouses and datamarts for reporting and analytics.
• Monitor data solution quality and stability.
• Optimize data ecosystems' performance and costs.
• Support data scientists and analysts deploying data solutions.
• Stay up to date with latest data technology developments.
• Coach and share knowledge with colleagues.

Connaissances

Data pipelines

SQL

NoSQL databases

Data modeling

HDFS / Data Lake

Cloud platforms (AWS / GCP / Azure)

Databricks / EMR / Hadoop

Docker

CI/CD / Infra-as-Code

Airflow / Oozie

Kafka / Elasticsearch / Kinesis

Python / SQL / Java / Scala

Spark (Scala / PySpark)

English fluency

French or Dutch proficiency

Driving license (Belgian)

EU work eligibility

Formation

Master's degree in engineering, computer science, mathematics, statistics, or related quantitative field

Outils

Databricks

EMR

Cloudera

Hadoop

Azure / AWS / GCP

Airflow

Oozie

Kafka / Kinesis / Elasticsearch

Description du poste

Since 2015, Agilytic has helped organizations reach their goals through the smarter use of data and AI. With over 300 successful projects completed in Belgium and abroad, we strive to be a leading boutique firm delivering high-impact solutions for marketing, operations, and finance decision-makers.

As a Data Engineer at Agilytic, you join our Platform Engineering & BI practice and tackle complex technological projects on our most challenging assignments. Your work is to build and maintain the (big) data infrastructure our Data Scientists and Data Analysts rely on to deliver client value.

While regular presence at client offices is required, we offer flexible and hybrid working arrangements. Our main offices are in Brussels' city center, and we gather there every Friday to foster team exchanges and strengthen our collective culture.

What will you do day-to-day?

• Conceive and build maintainable (cloud) data architectures (infrastructure, ETL, infra-as-code…)
• Integrate data sources by developing data pipelines
• Create large data warehouses and datamarts fit for further reporting or advanced analytics
• Monitor the quality and stability of data solutions
• Optimize data ecosystems' performance & costs
• Support Agilytic Data Scientists & Data Analysts in deploying data solutions for the clients
• Stay up to date with the latest developments in data technology
• Coach and actively share your knowledge with your colleagues

We are looking for strong candidates with the following academic and professional experiences.

Your background

• A master's degree in engineering, computer science, mathematics, statistics, or a related quantitative discipline
• At least 3 years of professional experience as a Data Engineer or in a closely related role, with hands‑on exposure to big data platforms (Databricks, EMR, Cloudera, Hadoop...), cloud environments (Azure, AWS, or GCP), or end-to-end BI projects
• A real appetite for picking up new tools and techniques as the field evolves

Your skills

• Technical knowledge in one or more of the following competencies
• Data pipeline management/ETL processing
• Database management (SQL and noSQL databases)
• Data modeling basics (3NF, Star Schema…)
• Large file storage (HDFS, Data Lake, S3, Blob storage…)
• Cloud platforms management like AWS, Google Cloud or Azure, in a data context
• Docker
• DevOps best practices integration (CI/CD, Infra-as-Code, unit testing…) is a plus
• Workflow management such as Airflow or Oozie is a plus
• Stream processing such as Kafka, Kinesis, Elasticsearch is a plus
• Programming languages requirements
• Working experience with Python, SQL (Java, Scala are also considered)
• Knowledge of Spark with Scala or Pyspark is a plus
• Other requirements
• Fluency in English (our internal working language) is required, plus fluency in French or Dutch. Strong proficiency in Dutch is particularly valued.
• Valid type B driving license (Belgian car license) or equivalent
• Eligibility to work in Belgium and the European Union (please be aware that we cannot provide relocation support)

Your Growth Path

• As a consultancy company, people are at the core of what we do. We will guide you and give you the support you need to develop and grow. We also believe that you own your growth, which is why you remain the main actor of your Individual Growth Plan.
• As an agile and problem‑solving minded company, you’ll be facing many opportunities to deepen your technical expertise in one domain or broaden your perspective in the data world.

What we expect from you

• Problem-solving mindset and pragmatic approach
• Genuine care about work quality
• Curiosity about new techniques and tools, eagerness to always keep learning
• Desire to be among the first employees of a growing Platform Engineering & BI practice, to help us shape our organization in the future

We aim at creating a work environment that allows you to do great work, grow your skillset and, most importantly, be happy while doing it.

• Competitive package: variable incentives, mobility budget, phone subscription, laptop, and meal vouchers
• Flexibility on remote working options, as long as it fits with our clients' best interests and team coaching needs
• Training and development: a roadmap co-designed with you, balancing your personal interests with the skills required by the role
• Supportive structure and transparency: we practice radical candor. We care personally about everyone, and we challenge each other constructively and directly.
• Modern tools: up-to‑date hardware and software so technology is never the bottleneck.
• Oh, and a little bit of fun too: we take our work very seriously, but we're not afraid to laugh at ourselves. Life is too short.

A note on our process

The bar for this role is high. While we have ambitious plans for Agilytic, we know that hiring right matters more than hiring fast. Our process is designed to reflect the expectations of the position: an initial conversation, a technical deep-dive on your data engineering experience, a hands‑on case study at our offices where you will demonstrate your expertise, and a final meeting with the founding partners. We promise transparency at every step.

Equal opportunity notice

We believe diversity breeds excellence. We are committed to providing employees with a safe work environment, free of discrimination and harassment. We base our remuneration structure and decision‑making processes on business needs, job requirements, and individual qualifications, without regard to race, belief, nationality, age, gender, or sexual orientation.

We also expect all colleagues to apply these principles in their respective roles.