Data Engineer
Data Engineer
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Job Description
Every day we get opportunities to make a positive impact on our colleagues partners customers and society. Together were 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 worldleading technologies that inspire progress in vital areas including energy food water and shipping.
As we push forward the innovative open spirit that fuels our 140yearold startup 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. We believe a delivery cant be considered Done until the intended business value has been released. 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 realtime 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:
3 years of working experience as a Cloud Data Engineer/Business Intelligence developer
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)
Knowledge of Business Intelligence/Data Warehouse architecture (Lakehouse) concepts and modelling (Kimball)
Knowledge of Business Intelligence development methods and patterns
Experience in working within SAFe
Ability to break down complex challenges into simple design and solutions that can be maintained efficiently
We Offer:
Opportunities for professional growth and development
A supportive and collaborative work environment
Exciting projects that challenge and expand your skillset.
Exposure to the latest technologies in the industry
Attractive salary and benefits package (private medical care for you and your family lunch card access to MyBenefit platform etc.
Flexible working hours you can start between 7:30 and 9:30 am
Hybrid work schedule our office is located on Przybyszewskiego 56 Bronowice Krakw
No formal dresscode
Annual integration events
Employee volunteering opportunities and interesting CSR projects
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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Employment Type
Full-Time
