OYOPO

Inetum Logo Senior Data Engineer/ R

at Inetum in Warsaw, PL


Work Type: On Premise | Employment Type: Full Time

Experience Level: Senior Level | Posted Date: 2025-04-14

Description

Company Description

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.

Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:

With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.

Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:

Flexible and hybrid work:

Attractive financial benefits:

Professional development and team support:

Community and Well-Being:

Job Description

- Architect and implement enterprise-grade data solutions using Databricks, Apache Spark, and cloud services.
- Lead data engineering initiatives, setting best practices and guiding technical decisions.
- Design, optimize, and scale data pipelines for performance, reliability, and cost efficiency.
- Define data governance policies and implement security best practices.
- Evaluate emerging technologies and recommend improvements to existing data infrastructure.
- Mentor junior and mid-level engineers, fostering a culture of continuous learning.
- Collaborate with cross-functional teams to align data strategy with business objectives.

Qualifications

- Expert-level proficiency in Databricks, Apache Spark, SQL, and Python/Scala.
- Extensive experience with cloud data platforms (AWS, Azure, or GCP) and big data technologies.
- Strong understanding of data architecture, data warehousing, and lakehouse concepts.
- Experience with real-time data processing and streaming technologies (Kafka, Delta Live Tables, Event Hubs)
- Proficiency in automation, CI/CD, and Infrastructure as Code (Terraform, Bicep).
- Leadership skills with the ability to drive strategic technical decisions.
- 6+ years of experience in data engineering, with a track record of designing and implementing complex data solutions.

Additional Information