Data Engineer (Regular/Senior/Lead)/ Inetum at Inetum

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL/ELT, Data Modeling, SQL, Python, Azure, GCP, Spark, Databricks, ADF, CI/CD, Agile, Communication, Data Analysis, Architecture Design, Mentoring

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 We are looking for Data Engineers at various seniority levels - from Regular to Technical Lead. We work on multiple data‑focused projects: from building and maintaining modern data & analytics platforms, through IoT integrations and stream processing, to designing data architectures and developing cloud‑based solutions. We are looking for people who want to work with data seriously: in scalable, production environments, with a strong focus on quality, automation, and long‑term development. By applying, you are not choosing one specific project. We will get back to you with a role proposal tailored to your experience, ambitions, and technology preferences. Technologies across our projects: Data processing & integration: Spark, Databricks, Azure Data Factory (ADF), Azure PaaS, Snowflake, Microsoft Fabric, Informatica, Apache NiFi, Node‑RED Languages & programming: SQL (SQL Server, PostgreSQL, TimescaleDB, DB2), Python Cloud & infrastructure: Azure, Google Cloud, Kubernetes, Terraform, Azure DevOps, Azure Pipelines, Control‑M IoT & integrations: Azure IoT Hub, MQTT, OPC UA BI & visualization: Power BI, SAP Business Objects Other: Git, ServiceNow, JSON, XML Qualifications Must‑have (depending on seniority level) Experience in Data Engineering (ETL/ELT, data modeling, integrations) Very good knowledge of SQL Python at a production level or for building pipelines Experience with cloud services (Azure or GCP) Experience with tools such as Spark/Databricks or ADF Familiarity with CI/CD tools and code repositories Ability to work in Agile teams Strong communication and data analysis skills Polish and English (minimum B2) For senior/lead roles additionally: Experience in designing data architectures Leading technical initiatives and mentoring Participation in strategic decisions and technology standards Ability to resolve complex incidents and system‑level issues Experience working in high‑scale production environments Nice to have Experience with IoT and telemetry processing Snowflake, Microsoft Fabric Power BI / Looker / Tableau ITIL Additional Information Most teams work in a hybrid model Main project locations: Warsaw, Poznań, Lublin Other Inetum office locations: Rzeszów, Katowice, Łódź We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: https://inetum.whispli.com/speakup?locale=pl

Responsibilities

The role involves working on multiple data-focused projects, ranging from building and maintaining modern data & analytics platforms to IoT integrations, stream processing, and designing cloud-based solutions. Responsibilities require serious work with data in scalable, production environments, emphasizing quality, automation, and long-term development.