Data Engineer (Master Data) at Huhtamaki Group
Espoo, , Finland -
Full Time


Start Date

Immediate

Expiry Date

18 Oct, 25

Salary

0.0

Posted On

19 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Quality Reporting, Python, Integration Development, Communication Skills, Sql, Data Solutions, Computer Science

Industry

Information Technology/IT

Description

Enjoy a career, packaged with care, whilst helping protect food, people and the planet
We are a key global provider of sustainable packaging solutions. We’re on a mission to make all packaging recyclable, reusable, or compostable. Every day, we ensure the hygiene and safety of food and drink for people around the world. We are Huhtamaki.
You could be part of our vision. Because it’s our talented people that make it happen. Our people on the shop floor producing innovative, sustainable products. Our people in our offices delivering excellence for our customers every day. It’s every one of us working together.
We offer a place where you can feel safe, be supported, and make an impact so we can all focus on the future together.

YOUR OPPORTUNITY

Huhtamaki is on a journey towards becoming a data savvy organization, and MDM has been identified as a key enabler for practically all digital initiatives. For this reason we have made significant investments in the area and have been building a group level master data management capability with our partners for some time. We are now enhancing our internal technical capabilities to develop the solution further – that’s where you come in. We are now looking for a talented Master Data Engineer to join our team of seasoned professionals in Digital & Process Performance. You will be a pivotal contributor to the execution of our master data roadmap by designing and implementing technical solutions with our state of the art master data technologies on cloud platform.

Responsibilities

WHAT YOU’LL BE DOING

  • Develop, deploy, and maintain master data solutions on the Huhtamaki MDM Platform, an enterprise-level multi-domain MDM solution designed to ensure good quality master data for operative and analytical purposes. Domains in scope but not limited to Customer, Supplier, Product, Material, Location, and Finance.
  • Participate in the design and implementation of master data related integrations. Contribute to integration architecture.
  • Participate in the design and implementation of master data sourcing, data migration and data cleansing best practices.
  • Participate in the design and implementation of data quality dashboards.
  • Optimize data solutions for performance, scalability, and cost-efficiency.
  • Ensure security best practices and compliance are maintained across the MDM platform.
  • Provide ongoing support for data-related issues and troubleshoot problems promptly.
  • Support global data steward network in technical issues related to MDM solution usage.
  • Collaborate with cross-functional teams to define and implement data solutions that align with business goals.

WHAT YOU’LL BRING TO THE ROLE

  • Bachelor’s degree in Computer Science or related field (or equivalent combination of education/experience).
  • 5+ years of experience in developing master data solutions, preferably with tools like Syndigo, Informatica MDM, Stibo Step, Semarchy xDM, Profisee, or similar multi domain solutions.
  • Experience with master data management concepts and processes.
  • Experience with data quality management and data quality reporting.
  • Advanced skills in SQL.
  • Excellent problem-solving skills and ability to troubleshoot complex issues.
  • Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Good experience in extracting data from various ERP systems and API-related integration development is a plus.
  • Azure certifications (e.g., Fabric Data Engineer Associate, Azure Solutions Architect Expert, Azure Data Engineer Associate) are a plus.
  • Experience with Python, Pyspark, Azure Data Factory, Azure SQL Database, etc. are a plus.
  • Experience with CI/CD pipelines using Azure DevOps is a plus.
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