Data Engineer (Microsoft Fabric) at Inetum

Łódź, Łódź Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

15 Oct, 26

Salary

0.0

Posted On

17 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Azure Data Factory, Python, SQL, PySpark, Apache Spark, Power BI, Azure DevOps, ETL/ELT, Delta Lake, OneLake, Lakehouse, Data Warehousing, CI/CD, Azure Data Lake, Semantic Modeling

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 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. 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 Inetum and help shape the future of data-driven decision-making. As a Data Engineer, you will work with modern technologies such as Microsoft Fabric and Azure to build scalable data platforms, unlock the value of enterprise data, and deliver solutions with real business impact across finance, sales, manufacturing, procurement, marketing, and other key business areas. What you’ll do: Build and maintain data pipelines and ingestion workflows Develop data transformations using Spark, PySpark, SQL and Python Design and implement solutions using Microsoft Fabric, OneLake, Lakehouse and Data Warehouse Create semantic models and Power BI reports Integrate data from multiple systems and sources Support CI/CD processes and deployment pipelines Ensure data quality, performance, scalability and security Collaborate with business and technical stakeholders to deliver valuable data solutions Contribute to a culture of knowledge sharing and continuous improvement Tech Stack Microsoft Fabric OneLake Lakehouse Fabric Data Warehouse Azure Data Factory Azure Data Lake Python SQL Apache Spark / PySpark Delta Lake Power BI Azure DevOps Qualifications What we’re looking for Minimum 3 years of experience as a Data Engineer Hands-on experience delivering Microsoft Fabric projects Strong knowledge of Python and SQL Experience with Azure Data Factory, Azure Data Lake and data warehousing solutions Experience building ETL/ELT solutions and working with Spark/PySpark Familiarity with CI/CD practices and Azure DevOps Strong problem-solving skills and a proactive mindset Ability to collaborate effectively with both technical and business teams Polish and English language skills at B2 level or higher Nice to have Experience with Azure Networking and Azure Security Knowledge of serverless Azure services Scripting and automation experience (PowerShell, ARM Templates or similar) What we offer Opportunity to work on new data and analytics initiatives Exposure to the latest Microsoft Data & AI technologies Real impact on the design and evolution of modern data platforms Collaboration with experienced engineers and architects A supportive environment focused on learning and professional growth Hybrid work model If you enjoy solving complex data challenges and want to build modern Azure and Microsoft Fabric solutions that make a difference, we’d love to hear from you. Thank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role. Additional Information You choose the form of cooperation yourself – employment contract or B2B contract 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

Build and maintain scalable data pipelines and ingestion workflows using Microsoft Fabric and Azure. Develop data transformations and semantic models to deliver business impact across various corporate functions.