Informacje o stanowisku

Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping.



As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.

About us

At Alfa Laval, we work in accordance with the SAFe methodology because we believe it adds extra value to our stakeholders and to the receivers of our efforts. The Data Engineer position is within the Sales & Service value stream.

The Sales & Service value stream provides digital solutions and processes for marketing, sales and services to enable and empower a digital customer and employee experience. The Alfa Laval data strategy for enabling analytics is to utilize Global Data Analytics Hub (GDAH). GDAH is a modern data platform Alfa Laval built on Microsoft Azure. The data platform is a Lakehouse designed on the pattern of medallion architecture which brings the best elements of data lakes and data warehouses. It supports diverse data applications, such as analytics, real-time monitoring, data science, and machine learning.

About the Role

As a Data Engineer you will work from source system to visualization, using the latest technology in Microsoft Azure to accelerate the implementation of all types of analytics in GDAH that the Sales & Service value stream prioritizes. You will work with the business defining requirements, design, develop, configure, test, and maintain analytics solutions within Alfa Laval. You ensure that solutions meet the needs and are evolved over time.

As part of the job, you keep yourself updated within the world of analytics. Together with your colleagues, you participate in evaluations of new tools and technology.

Our Requirements:

1. Working experience as a Cloud Data Engineer/Business Intelligence developer
2. Strong Experience of developing solutions on the Azure Analytics platform (strong knowledge within Azure Databricks, SQL Spark, Python Spark, Azure DevOps, Azure Data Factory, and related Azure resources)
3. Knowledge of Business Intelligence/Data Warehouse architecture (Lakehouse), concepts and modelling (Kimball)
4. Knowledge of Business Intelligence development methods and patterns
5. Experience in working within SAFe
6. Ability to break down complex challenges into simple design and solutions that can be maintained efficiently

We Offer:

1. Opportunities for professional growth and development
2. A supportive and collaborative work environment
3. Exciting projects that challenge and expand your skillset.
4. Exposure to the latest technologies in the industry
5. Attractive salary and benefits package (private medical care for you and your family, lunch card, access to MyBenefit platform, etc.)
6. Flexible working hours, you can start between 7:30 and 9:30 am
7. Hybrid work schedule, our office is located on Przybyszewskiego 56, Bronowice, Kraków
8. Employee volunteering opportunities and interesting CSR projects
9. Relocation support within Poland if needed

We care about diversity, inclusion and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidates fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games.

We are looking forward to your application. Applications sent directly via email will be disregarded without notice due to GDPR.

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