Data Architect

We are Elmos Data, a leading IT consultancy firm delivering innovative, high-impact solutions to clients across a wide range of industries. To support a key client, we are seeking an experienced Data Engineer
. In this role, you will work on-site with the client, where you will be responsible for designing, building, and maintaining data pipelines and infrastructure that power the client’s data-driven initiatives.

As a Data Engineer, you will be tasked with creating robust, scalable, and efficient data systems to process large volumes of data for the client. Working closely with data scientists, analysts, and other stakeholders, you will ensure that data is properly collected, stored, and prepared for analysis. You will optimize data workflows, ensure data quality, and support the client’s long-term data architecture and infrastructure needs.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest and process data from various sources.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and provide the necessary infrastructure and support.
• Ensure data quality, accuracy, and consistency across systems by implementing proper data validation and monitoring mechanisms.
• Build and optimize data warehouses, lakes, and databases to ensure efficient storage and retrieval of large datasets.
• Develop and maintain data integration solutions to connect internal and external data sources.
• Manage and automate data workflows to support real-time and batch processing.
• Ensure security and compliance with data protection standards (e.g., GDPR) when handling sensitive data.
• Evaluate and integrate new data technologies and tools to continuously improve the client’s data infrastructure.

• At least 2 years of experience in data engineering, preferably within a consultancy or client-facing environment.
• Proficient in programming languages such as Python, Java, or Scala for data processing.
• Strong experience with SQL and No
  
  SQL databases, as well as data warehousing solutions (e.g., Redshift, Big Query, Snowflake).
• Familiarity with ETL tools and frameworks such as Apache Airflow, Talend, or similar.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Knowledge of data pipeline orchestration and automation tools.
• Strong understanding of data modeling, data governance, and best practices for data architecture.
• Excellent problem-solving skills and ability to work independently as well as in a team.
• Strong communication skills, with the ability to translate technical solutions for non-technical stakeholders.

This position is open to both freelancers and those who prefer to work on Elmos Data’s payroll.

You’ll be joining a large, no-nonsense IT family where teamwork, a flexible working approach, and a healthy work-life balance are top priorities.

You’ll feel like part of the family and stay informed through team events, webinars, and conferences.

An individual learning path set up by our Competence Center and a personal training budget.

You’ll receive a competitive salary aligned with your experience and skills, complemented by a nice package of additional benefits (group and health insurance, company car with fuel card, double holiday pay, end-of-year bonus with cafeteria plan, etc.).