Do you dare to lead the digital transformation to create a more sustainable world? Schneider Electric has an opportunity for a Data Engineer within our Schneider Digital – Finance data platform team. Schneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. Our 135,000+ employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software, and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.
What will you do? Finance is leading the data digital transformation within SE. As part of this small team that is making IMPACT in all data platforms of the company, you will:
Play an instrumental role in the design, development, and maintenance of new ETL, data extractions and ingestions, data quality… ensuring FAIR principles are achieved.Work with large and complex datasets within the platform and make them available to different stakeholders.Define and build scalable data pipelines to integrate and model datasets from complex data sources.Ensure the quality best practices, defining and implementing automated testing of data pipelines and orchestration.Collaborate with data team members to define data quality rules and KPIs for monitoring and exception alerts.Diagnose and triage infrastructure problems and outages related to the data & analytics platform.Learn fast about new technologies; the project is growing fast and will be soon serving other BUs, so you will need to learn about different technologies.Collaborate with business analysts, data visualization, and data analytics.Closely collaborate with our cloud engineering team to drive automation and observability as a key success manner.Learn to work with the most updated technologies; you will have access to our Data Engineer training path based on AWS, Databricks, and Coursera trainings.What qualifications will make you successful for this role? We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.
This job might be for you if you have/are:
A bachelor's degree in: Computer Science, Engineering, Mathematics, Economics, or a related field.A minimum of 2 years' experience in a data engineering role.Familiarity with data processing concepts like ETL/ETL pipelines.Experience with Python and Git.Knowledge of good practices for Python development (project structure, testing, formatting, deploy, etc.).Hands-on experience building on Spark (using Scala or Python).Experience with S3 for object storage and data lakes.Experience in data modeling.Experience in developing and operating workflow orchestration.Understanding of data partitioning and file formats like Parquet.Understanding of data warehousing concepts and querying languages like SQL.Agile knowledge.Fluent in English.Desirable Skills/Experience: Experience with Databricks and/or AWS Glue.Familiarity with the AWS console and basic command-line tools (AWS CLI).Experience with Delta and Iceberg.Basic understanding of AWS serverless services like Lambda, Step functions, AWS Glue, and Redshift.Experience with CI/CD pipelines for automating infrastructure and code deployment.AWS certification: Solution architect, SysOps Administrator, Developer, DevOps Engineer.Experience with streaming data services (Kafka, Kinesis, MKS, DMS).Experience with developing containerized solutions (Docker).What will you get? We adapt to you:
With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities.
We know how great it is to work from home. With our hybrid work plan, you can enjoy working from the comfort of your home.
Need more time to relax and disconnect? With our Holy Pack, you can purchase additional vacation days to recharge when you need it most.
Celebrate holidays your way! With Floating Holidays, you can exchange holidays for other days that better suit your plans and personal preferences.
Need additional time to explore new experiences or focus on personal projects? With the Sabbatical Pack, you can request up to 2 months of extra leave (unpaid).
We value the importance of family and want to support you in all aspects of your life. Our Global Family Leave Policy provides flexible paid conditions for when you need it most, whether you're about to be a parent, need time to overcome a loss, or to care for a loved one.
We take care of you:
With access to the health and wellness platform Wellwo, you and up to 5 people of your choice can enjoy virtual medical care and 24/7 psychological support, as well as access to nutrition counseling, fitness classes, and more!
Your well-being is our priority. You will have medical service at your workplace for close attention to any medical needs.
We empower you:
With Open Talent Market, our AI-driven professional development platform, you can connect with job opportunities, projects, and mentors at Schneider Electric globally.
We celebrate everyone's talent and success with our recognition program, through which you can give and receive points for your achievements and redeem them for gift cards at your favorite stores.
You will have life insurance for your protection.
We offer you a Flexible Remuneration Plan in which you can choose from a variety of options, such as health insurance, meal vouchers, childcare vouchers, transportation vouchers, training, and more.
Become an IMPACT Maker with Schneider Electric – apply today!
€36 billion global revenue
+13% organic growth
150,000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
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