Data Engineer
What will you do?
In this role, you will play a crucial role in designing, developing, and maintaining data pipelines to ingest, transform, and process large volumes of structured and unstructured data. You will collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver tailored solutions that meet business needs.
You will ensure that data pipelines are scalable, reliable, and optimized for performance, while also implementing data quality checks and validation processes to maintain the integrity of the data throughout its lifecycle.
Using cloud-based technologies such as Azure, AWS, or GCP, you will deploy and manage data solutions, and use tools like Spark, Databricks, or Python to handle big data processing and transformations. Monitoring and troubleshooting data workflows will be key to ensuring minimal disruption to operations.
You will also contribute to documentation and knowledge sharing within the team, fostering a culture of collaboration and continuous learning.
Experience
- 2+ years of experience as a Data Engineer or in a related role.
- Proficiency in programming languages such as Python, SQL, or Scala for data processing.
- Hands-on experience with data pipeline tools and frameworks like Apache Spark, Databricks, or Airflow.
- Knowledge of cloud platforms (e.g., Azure, AWS, or GCP) and their data-related services (e.g., Azure Data Factory, AWS Glue).
- Experience working with relational and non-relational databases (SQL, NoSQL).
- Familiarity with data modeling, ETL/ELT processes, and data architecture concepts.
- Strong problem-solving skills and attention to detail.
- Ability to work effectively in project teams, collaborating with both technical and non-technical colleagues.
- Clear communication skills to explain technical concepts to diverse audiences
- Preferably, you also have: Experience with real-time or streaming data tools such as Kafka or Event Hubs, Certifications in Azure, AWS, or GCP, and an understanding of data governance and security principles
Keywords
- Pyspark, Databricks, Terraform, Github
What do we offer you
- Personal development: a tailor-made growth path with training, courses, certification and mentoring by experienced colleagues.
- An innovative work environment: collaborate with a team of experts pushing boundaries in data, technology, and consulting.
- Immediate impact and responsibility: you’ll make a difference for our clients from day one and are entrusted with responsibilities that challenge you to bring the best out of yourself.
- Inspiring work culture: a supportive, flexible, and no-nonsense environment that fosters your growth and fully allows you to be yourself.
Additionally, we offer:
- Competitive employment benefits, including bonuses and expense allowance.
- A company car or mobility budget.
- A workplace that prioritizes and respects your work-life balance (for example by offering you the option of taking a sabbatical or expand the amount of holidays per year).
- An affordable sports membership that allows you to participate in 50 different sports offered by over 10,000 partners.
- A vibrant community that organizes both professional and social events.
