Senior Data Engineer (Data & AI Factory)

Company Description

At the company, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

We are building cultures of innovation with Google Cloud technology. Our cultural mindset, combined with our values define the way we want to work as one:

• Respect - for each others time, work and experiences

• Frankness - to improve, learn and share from positive and negative experiences

• Passion - to see the opportunity in change

Read more: [link removed]

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, to interpret our customers’ business and technical requirements in order to extract the value from their 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, working 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 to build, maintain and troubleshoot data observability solutions to improve data quality

• help 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 canditations with the below 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 services

• Some 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

• Hybrid working model

• Up to 26 days of vacation per year 

• MultiSport card (70 % of costs covered by the company) 

• 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.

• Private medical healthcare including dental package

• 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 utilization of evolving IT technologies

• Usage of AI tools and access to elaborate, tailored AI training