Data Engineer
5 days ago
We are seeking a highly skilled Data Engineer to join our Portfolio Brands team at H&M Group. As a Data Engineer, you will play a key role in designing, constructing, and maintaining the architecture of our integrated data products.
Key Responsibilities- Design and build explorative, predictive, or prescriptive models using optimization, simulation, and machine learning techniques.
- Take end-to-end responsibility for building, optimizing, and supporting existing and new data products towards the defined target vision.
- Be a champion of DevOps mindset and principles, managing CI/CD pipelines and Terraform, as well as Cloud infrastructure, in our context, Google Cloud Platform (GCP).
- Ensure that our built data products work as independent units of deployment and non-functional aspects follow the defined standards for security, scalability, observability, and performance.
- Evaluate and drive continuous improvement and reducing technical debt at the Portfolio brands.
- Maintain expertise in the latest data/analytics and cloud technologies.
- Design, develop, build, and maintain real-time data pipelines from a variety of sources.
- Coordinate with other teams to design optimal patterns for data ingest and egress, and lead and coordinate data quality initiatives and troubleshooting.
- Work close to stakeholders around vision for existing data products and identifying new data products to support customer needs.
- Work with analytics teams within Portfolio Brands and across H&M Group around topics related to data modernization initiatives.
- Leverage understanding of software architecture, software development lifecycle, and software design patterns to write scalable, maintainable, well-designed, and future-proof software.
- Evaluate and drive continuous improvement and reducing technical debt within PB.
- Maintain expertise in the latest data/analytics and cloud technologies.
- Ensure assurance, audit, compliance, and testing related to cyber security issues.
- Handle security governance and management, as well as threat assessment and information risk management.
- Hands-on experience of 4 years and above either as a Data Engineer on modern cloud data platforms or advanced analytics environments or as a Software Engineer with cloud technologies and infrastructure.
- Experience in data query languages (SQL, BigQuery or similar).
- Experience in data-centric programming using one of more programming languages (Python, Java, and/or Scala).
- Good understanding of different data modeling techniques and trade-offs.
- Knowledge of SAS and Azure databases.
- Experience in working with Terraform and dbt.
- Experience in working with data visualization tools.
- Experience in GCP tools – Cloud Functions, Cloud Run, VertexAI, Dataflow, Dataproc, and BigQuery.
- Experience in data processing framework – Beam, Spark, Hive, Flink, and Iceberg.
- Have a collaborative and co-creative mindset with excellent communication skills.
- Motivated to work in an environment that allows you to work and take decisions independently.
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