Data Engineer / ROR
Inetum · Warsaw, Masovian Voivodeship, Poland
IT Services and IT Consulting · 10,001+ employees
About the role
Design, develop, and maintain scalable data solutions and processing pipelines using Databricks and Apache Spark. Collaborate with cross-functional teams to ensure data quality, performance, and security within the Microsoft Azure ecosystem.
What they look for
Requirements
Requires proven experience as a Data Engineer with hands-on expertise in Databricks, Apache Spark, SQL, and Python. Candidates must be proficient in Polish and possess English language skills at a B2 level or higher.
Benefits
Full 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:
- Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.
- Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.
- Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.
- Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.
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:
Attractive financial benefits:
- A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
- Generous referral bonuses, offering up to PLN6,000 for referring specialists.
- Additional revenue sharing opportunities for initiating partnerships with new clients.
Professional development and team support:
- Ongoing guidance from a dedicated Team Manager for each employee.
- Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
Community and Well-Being:
- Dedicated team-building budget for online and on-site team events.
- Opportunities to participate in charitable initiatives and local sports programs.
- A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
Job Description
For our client, we are looking for experienced Data Engineer. If you have a strong background in data engineering, Big Data technologies, and cloud-based data solutions, we'd be happy to hear from you.
Main Responsibilities:
- Design, develop, and maintain scalable data solutions and data pipelines.
- Build and optimize data processing workflows.
- Work with Databricks and Apache Spark to process large volumes of data.
- Develop and maintain data solutions within the Microsoft Azure ecosystem.
- Collaborate with data analysts, architects, and other stakeholders to deliver business value.
- Ensure data quality, performance, and security across data platforms.
Qualifications
Must Have
- Proven experience as a Data Engineer.
- Hands-on experience with Databricks.
- Experience with Azure Data Processing and Storage Services.
- Practical experience working with Apache Spark.
- Strong knowledge of SQL.
- Experience developing solutions in Python.
- Good understanding of Big Data processing standards, tools, and best practices.
- Proficiency in Polish language.
- English language skills at B2 level or higher.
Nice to Have
- Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or a related field.
- Experience working on Big Data projects utilizing Databricks and Spark.