Data Engineering Manager

Be part of something bigger. Decode the future.

At Electrolux, 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 Engineering Manager (DE) plays a critical role in supporting our Azure Data and Databricks projects under our GDP environment. This role manages DE projects and day-to-day activities focusing on the build, design, and deployment of new data pipelines and integrating between source, data warehouse, and business visualization layers.

This role is heavily focused on technical aspects, with sound experience and expertise in both these technologies, with the ability to load, transform, and extract data for business intelligence/analytical activities.

Working closely with our business stakeholders, you will also be expected to participate in the ground-up implementation of a full DE framework that places data at the core of the business.

The role will require supporting and leading other data teams' functions like Data Visualization, Vendor Management, and Data Architecture to ensure seamless delivery and accuracy of data to drive decision-making.

Effective cross-functional collaboration skills are desired in the ideal candidates.

What you’ll do:

1. Data Engineering

• Translate business functional demands into technical requirements with appropriate timelines and costs related to DE activities.
• Provide DE design, solution options, and recommendations that meet requirements and are consistent with the company’s best practices.
• Support any DE issues or incidents that might impact data loads, data transformation, and data visualization.
• Provide and implement design solutions to integrate data sources into our GDP layer through Azure integration tools.
• Provide and implement Databricks tiered layers to support transformation from Bronze to Gold.

• Work with vendors and suppliers on key DE and BI projects.
• Ensure DE timelines and project management activities are tracked and aligned with other data activities from different data teams.
• Support our business in ensuring timely delivery of BI insights, reports, and dashboards through data accuracy, data availability, and sound data pipelines.
• Project Planning & Management - Define requirements and scope, develop project specifications and work plans, determine risk/contingency plans, and direct project planning and execution (including training programs for stakeholders).

In this role, you will be dealing with Electrolux’s internal customers. You should be confident in dealing with leaders from both a country-level and region-level perspective.

In Electrolux, we encourage open communication at all levels and emphasize dealing with our customers and colleagues with integrity and respect. You will be working in Petaling Jaya, Malaysia, during regular working hours and may be required to travel both domestically and internationally.

Who You Are

For you to succeed in this role, you should be:

1. Data Engineering and Data Warehouse Architecture

• Collaborating with stakeholders to define the business layer and data transformation layer of the Data Model that is consistent with easy access to data dimensions and schemas.
• Reviewing the current Data Engineering architecture and recommending changes as appropriate.
• Ensuring the product/solution architecture is scalable and fit for purpose within the GDP layer.

• Leading in design, specification, and selection of Data solutions with specific focus on functionality, data, security, integration, infrastructure, and performance.
• Having a sound understanding of all Big Data components & Data Warehousing concepts, preferably in Azure Databricks, Azure Data Factory, SQL, and non-SQL technologies like Snowflake.
• Analyzing requirements and architecting appropriate solutions, with detailed design documents.

• Strong understanding of Data Quality, Metadata Management, and Master Data Management concepts.
• Good understanding of privacy laws and regulations, especially concerning 1st party data.
• Good understanding of financial laws around Data Security, Compliance, and other related regulations.
• Able to work under tight deadlines in a dynamic working environment.

You are expected to participate in special projects as requested by Electrolux management either as required by the business and/or as part of your career development plan.

EDUCATION

• You should have a degree in IT or Data Science, and preferably experience leading and managing a Data Team in an MNC organization.

EXPERIENCE

• 10 to 15+ years of experience with one or more Big Data or Analytics Products and Services: Hadoop, Spark, Hive, Azure Databricks or proven relevant exposure and experience in a similar industry.
• 10 to 15+ years in Data Engineering – Data Factory / Databricks (PySpark, SQL)/ Pandas / Numpy / MXNet / TensorFlow or proven relevant exposure and experience in a similar industry.
• 10 to 15+ years in Deployment - Azure Data Factory / Apache Airflow.
• 5 to 10+ years in Programming Languages – Python / SQL / Java.

• 12+ years in Data Warehouse.
• 5+ years in Data Modelling, SQL Scripting, Power BI, Power Automate.
• 10+ years in BI project management.
• Exposure to AI and Machine Learning.
• AI & ML – CNN, Federated Learning, Poisoning attacks and defenses.

Where you will be:

You will be based in our Petaling Jaya office. You will be part of a dynamic international team where English is the natural language.

Benefit highlights:

• Hybrid working arrangements.
• Discounts on Electrolux products and services.
• Medical & Hospitalization coverage.
• Dental & Optical.

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