Mid Data Engineer (Data & AI Factory)
Summary
Build and maintain data pipelines, AI models, and transformations using Python, SQL, GCP, Dataiku, and Vertex AI to deliver business insights for enterprise clients.
Job Description
For a prestigious customer – we are looking for dedicated Data / AI Engineers (Lead Engineer and seniors) to leverage their extensive experience in Data engineering, AI and public cloud areas, interpreting the customer’s business and technical requirements to extract value from data, using Dataiku and GCP products and services as well as other industry‑known technologies.
In this position you will:
- Work as part of the Data & AI Factory team, collaborating with the customer to support their data‑ops and AI projects
- Be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
- Help build, maintain and troubleshoot data observability solutions to improve data quality
- Turn data into valuable business insights, preparing custom solutions optimised for each client
- Act as a trusted advisor for junior team members
- Lead by example
Note: this position may require on‑call work, including overnight and weekend availability.
Qualifications
We are looking for candidates with the following qualifications:
- BA/BS in Computer Science or Math, or related technical field / equivalent experience
- Experience with Python
- Knowledge of Go
- Good DBT knowledge
- Proficient in SQL
- Good knowledge of Power BI
- Some experience with Vertex AI and Dataiku (certification a big asset)
- Experience with programming in Agile methodology as well as ITIL best practices
- Knowledge of database and data analysis technologies, including relational and NoSQL databases, data warehouse design, and ETL/ELT pipelines
- Relevant experience with GCP data products and servicesSome experience with job orchestration tools (e.g. Airflow, Dagster)
- Some experience with data ingestion tools (e.g. Fivetran, Airbyte)
- Some experience in Hadoop and using platforms such as Apache Spark, Pig, or Hive
- Fluency in English
Additional Information
What will you get apart from the salary?
- Employment contract
- Up to 26 days of vacation per year
- MultiSport card (70 % of costs covered by Devoteam)
- Cafeteria (200 points/month)
- Contribution for glasses
- Career Management, training and certifications in the best breed of technologies – focused on technical skills, Project Management methodology, etc., including Udemy for business accounts
- Referral program
Moreover, we offer:
- Foreign business trips
- Above standard working equipment (possibility of purchasing equipment)
- Coffee, tea, snacks in the office
- Company events and team buildings
- Friendly and open culture
- Pet‑friendly office
And last but not least, you can rely on:
- Transparent framework for career growth, reinforced by annual performance evaluations
- Trust and autonomy, with no micro‑management
- Learning from senior colleagues and opportunities to collaborate with professionals from various industries
- Opportunities to attend conferences to keep skills up‑to‑date
- Working on a variety of international projects for a broader range of experience
- Adoption and utilisation of evolving IT technologies
- Usage of AI tools and access to elaborate, tailored AI training