Data Engineering Framework Lead

Solve complex problems. Decode the future.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

The Data Platform Team at Electrolux is dedicated to empowering data-driven decision-making and innovation with a robust, scalable and secure data platform built on Azure using data mesh architecture. Our team designs and implements data mesh architecture that promotes autonomy and agility across the organization. We work closely with cross-functional teams including data scientists, product architects and data engineers to understand requirements, iterate solutions and deliver value-driven outcomes. We implement best practices for data governance, access control and compliance, leveraging latest tools and industry standards.

We are looking for a Data Engineering Framework Lead (Senior Python Developer) with strong experience in building solutions with Python and SQL. Your role as a Technical Product owner is to build, deploy, manage and support the Data Engineering (DE) framework. It has 2 main modules – Metadata driven Ingestion framework built on Azure Data factory and a Data Transformation framework that is built in-house with Python

What you'll do:

Create new templates for the Ingestion framework as new data sources are brought into the Data platform

Change/release management and engagement with Data Engineering community as new bug fixes and enhancements are deployed

Collaborate with consulting partners and peers to build, test, debug, review code, deploy and document in Confluence

Ensure that the framework is setup consistently across all Domain data landing zones and the data pipelines are built efficiently, fast and cost effective

Manage the underlying framework components to make sure they are not out of support

Act as SME for the overall Data Engineering framework and build a product roadmap based on the requirements

Manage Product backlog and prioritize it with Data Engineering Teams

Qualifications:

B.Sc. in Computer Science (or equivalent).

4+ years of hands-on experience with Python

2+ years of experience with SQL

Experience with Databricks (Pyspark, SQL)

Strong work ethic, pragmatic, attention to detail, excellent communication skills and ability to work without supervision is required

Fluent in English

Nice to have

Experience with CI/CD, Airflow and knowledge of GitHub

Knowledge of Azure platform, Delta Live Tables (DLT) and Data quality tools such as Great Expectations or Soda Core

Where you'll be:

You will be based at Electrolux office in Stockholm, Sweden.

Benefit highlights include:

· Flexible work hours/hybrid work environment.

· Attractive social benefits package.

· Extensive learning opportunities and flexible career path.

We look forward to receiving you application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

Find out more:

Electrolux Group