Data Engineering Specialist

1 month ago

Stockholm, Stockholm, Sweden H&M Group Full time

H&M Group - Data Engineer Job Description

We are seeking a skilled Data Engineer to join our team at H&M Group. The successful candidate will be responsible for designing, constructing, and maintaining the architecture of our integrated data products.

As a Data Engineer, you will build pipelines to extract, transform, and load data from various sources into data warehouses, such as Google Cloud Platform (GCP). You will solve complex problems by turning vast amounts of data into actionable business insights through advanced analytics, modeling, and machine learning.

You will work closely with stakeholders across brands and AIAD, act as a partner and spokesperson, and contribute to implementing data-intensive solutions that shape the future of Portfolio Brands.

  • Taking end-to-end responsibility to build, optimize, and support existing and new data products towards the defined target vision.
  • Designing and building explorative, predictive – or prescriptive models, utilizing optimization, simulation, and machine learning techniques.
  • Being a champion of DevOps mindset and principles and managing CI/CD pipelines and Terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
  • Ensuring that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
  • Evaluating and driving continuous improvement and reducing technical debt at the Portfolio brands.
  • Maintaining expertise in latest data/analytics and cloud technologies.
  • Designing, developing, building, and maintaining real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, data mesh, messages etc.).
  • Coordinating with other teams to design optimal patterns for data ingest and egress, and leading and coordinating data quality initiatives and troubleshooting.
  • Working close to the stakeholders around vision for existing data products and identifying new data products to support our customer needs.
  • Working with analytics teams within Portfolio Brands and across H&M group around topics that relate to our data modernization initiative.
  • Leveraging the understanding of software architecture, software development lifecycle, and software design patterns to write scalable, maintainable, well-designed, and future-proof software.
  • Evaluating and driving continuous improvement and reducing technical debt within PB.
  • Maintaining expertise in latest data/analytics and cloud technologies.
  • Ensuring assurance, audit, compliance, and testing related to cyber security issues.
  • Handling security governance and management, as well as threat assessment and information risk management.

Qualifications and Requirements:

  • Hands-on experience of 4 years & 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 modelling techniques and trade-off.
  • 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.
  • Having 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.

Additional Information:

This is a full-time position based in Stockholm, Sweden. We offer a competitive salary of approximately $120,000 per year, depending on experience. Apply by sending in your CV in English as soon as possible, but no later than [insert date]. Due to data policies, we only accept applications through the career page.

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