Data Engineer / R at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

16 Dec, 25

Salary

0.0

Posted On

17 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Engineering, Big Data Processing, Databricks, ETL Workflows, Apache Spark, Data Security, Data Governance, Azure Cloud, Terraform, Azure DevOps

Industry

IT Services and IT Consulting

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: Flexible and hybrid work: Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. 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 Join a cutting-edge initiative focused on predictive maintenance for jet engines. You’ll be part of a dynamic team developing scalable data solutions that power real-time analytics and decision-making in aviation technology. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark. Implement complex ETL workflows and optimize data transformations for performance and efficiency. Tune Spark jobs and optimize resource utilization to improve pipeline performance. Collaborate with data scientists, analysts, and stakeholders to deliver high-quality datasets. Ensure data security, governance, and compliance with industry standards. Troubleshoot production issues and implement robust monitoring solutions. Tech Stack: Azure Cloud, Databricks, Python, .NET, SQL, Terraform, Azure DevOps Qualifications Strong proficiency in SQL. Hands-on experience with Python development. Proven background in Data Engineering. Familiarity with Big Data processing standards and tools. Experience working with Databricks (preferably on Azure). Nice-to-Have Skills: Experience with Spark for data processing. Knowledge of Azure storage services. Familiarity with tools like Jupyter, Pandas, or Dask. Additional Information Hybrid work – 2 days per week at the office in Warsaw, Katowice, Poznań, Lublin, Rzeszow or Lodz.

Responsibilities

Design, develop, and maintain scalable data pipelines for predictive maintenance in aviation technology. Collaborate with data scientists and stakeholders to ensure high-quality datasets and troubleshoot production issues.