Data Engineering Manager

Posted 3 Days Ago
Be an Early Applicant
MY
Senior level
Other
The Role
The Data Engineering Manager at Electrolux will lead and support Azure Data and Databricks projects. Responsibilities include managing DE projects, designing data pipelines, integrating data sources, and collaborating with stakeholders to ensure timely BI insights using sound data practices.
Summary Generated by Built In

Tech

Permanent

Job Description

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:

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 build, design and deployment of new data pipelines and integrating between source, data warehouse and business visualization layers.

This role is a heavily focus technical role, with sound experience and expertized 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 its 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 recommendation that meet requirements and consistent with company’s best practice.
  • Support any DE issues, incident that might impact data loads, data transformation and data visualization.
  • Provide and Implement design solutions to integration data sources into our GDP layer thru Azure integration tools
  • Provide and Implement Databricks tiered layers to support transformation from Bronze to Gold

2. Project Management

  • Working with vendors and suppliers to key DE and BI projects.
  • Ensure DE timelines and project management activities are track and align with other data activities from different data teams
  • Support our business on ensuring timely delivery of BI insights, reports and dashboards thru data accuracy, data availability and sound data pipelines.
  • Project Planning & Management - Defined requirements and scope, developed project specifications and work plans, determined risk/contingency plans, and directed project planning and execution (as well as training programs for stakeholders.

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

In Electrolux, we encourage open communication at all levels and put emphasis in dealing with our customers as well as colleagues with integrity and respect. You will be working in (PJ 33, Petaling Jaya & Malaysia) on regular working hours and may be required to travel both domestic and international.

Who You Are

Competencies to be stated, Electrolux as well as technical competencies to be listed below.

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

Data Engineering and Datawarehouse Architecture

  • Collaborate 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
  • Review the current Data Engineering architecture and recommend changes as appropriate.
  • Ensuring the product/solution architecture is scalable and fit for purpose withing the GDP layer

Data Engineering Governance Solution Design: -

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

Business Partnering: -

  • Strong understanding of Data Quality, Metadata Management, Master Data Management concepts
  • Good understanding of privacy laws and regulations, especially on areas 1st party data.
  • Good understanding of financial laws around the Data Security, Compliance and other related regulations.
  • Able to work under tight deadlines and 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 or your career development plan.

EDUCATION

  • You should have a degree in IT or Data Science, preferably you experience leading and managing a Data Team in a 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 similar industry.
  • 10 to 15+ years Data Engineering – Data Factory / Databricks (PySpark, SQL)/ Pandas / Numpy / MXNet / TensorFlow or proven relevant exposure and experience in similar industry.
  • 10 to 15+ years 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.
Find more on:
Electrolux APAC & MEA: https://www.linkedin.com/company/electrolux/life/apacmea/

#LI-FK1

Top Skills

Azure
Databricks
The Company
Charlotte, NC
23,469 Employees
On-site Workplace
Year Founded: 1919

What We Do

Electrolux is a leading global appliance company that has shaped living for the better for more than 100 years. We reinvent taste, care and wellbeing experiences for millions of people, always striving to be at the forefront of sustainability in society through our solutions and operations. Under our brands, including Electrolux, AEG and Frigidaire, we sell approximately 60 million household products in approximately 120 markets every year. In 2020 Electrolux had sales of SEK 116 billion and employed 48,000 people around the world. For more information go to www.electroluxgroup.com.

Similar Jobs

Encora Logo Encora

Data Engineering Manager

Software • Consulting
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
7456 Employees

Capco Logo Capco

Business Analyst - Payments / ISO

Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
6000 Employees

Capco Logo Capco

Business Analyst/Senior Business Analyst (Banking)

Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
6000 Employees

Capco Logo Capco

Senior Data Scientist

Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
6000 Employees

Similar Companies Hiring

Voltage Park Thumbnail
Software • Other • Machine Learning • Infrastructure as a Service (IaaS) • Hardware • Cloud • Artificial Intelligence
San Francisco, CA
51 Employees
MyBambu Thumbnail
Social Impact • Payments • Other • Mobile • Fintech • Financial Services • App development
West Palm Beach, Florida
120 Employees
Artlist Thumbnail
Social Media • Other • Music • Digital Media
Tel Aviv, IL
450 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account