Data Engineer - Analytics and Data Platforms & Data Foundation

Company Description


Are you a creative Engineer passionate about solving problems, building new stuff and always have something new to learn? We are looking for data engineers to join our new AI foundation product area.
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.




Job Description


Are you a creative engineer passionate about solving problems, building new stuff and always have something new to learn? We are looking for data engineers to join our new AI, Analytics and Data domain.
We love design, and we love technology! Our diversity makes us strong and creates an inclusive and welcoming workplace where everyone’s individuality is highly valued. We are looking for Data Engineers who want to work in a modern organization, where agility, automation and cloud are non-negotiables.
Our product areas are called Analytics and Data Platforms and Data Foundation, and our teams are responsible for all data processing, reporting and advanced analytics capabilities across the whole value chain. This means tons of data and unlimited learning opportunities. We welcome applications from varied backgrounds in data and analytics.
About the position
You will join the product area and according to your interests, experience and competencies, will work with one of our product teams. You and your team leverage modern software engineering principles and cloud services to build robust data solutions for our entire value-chain, in production, logistics, sales, marketing and others. We hope you appreciate working in autonomous teams, have a hands-on attitude and believe that no challenge is too big if we have the right support and tools in place.
We appreciate a multitude of technical backgrounds, but we believe you enjoy working here if you’re passionate about data and have worked hands-on with analytics in the past, either in modern data warehouses or with modern open-source data processing frameworks such as Spark. We appreciate your solid foundations in database principles and/or software engineering, as these go hand-in-hand when building robust, cloud-based solutions.
We are looking for you who
Collaborate with other engineers and specialists in building data-driven solutions that have laser-focus on business problems and our customers
Build products in a varied of technologies and with varied focus (reporting, self-service analytics, large-scale data processing)
Be a champion of DevOps mindset and principles, which emphasizes automation, continuous integration, and end-to-end ownership of solutions
Use your expertise and creativity to solve problems using modern technologies and software engineering, in the areas of data quality, testing, deployment and monitoring





Qualifications


You are a team player, solution-driven and open-minded, with a passion for continuous improvement and automation
Solid track record in data engineering or in business intelligence/ advanced analytics environments, including building data platforms on Hadoop and Spark
Solid understanding of Data Modelling
Proficiency in at least Python, bash and SQL, and experience in a range of data management technologies, such as NoSQL and distributed systems. Knowledge of Java or Scala is a plus.
Experience with version control workflows with Git and an advocate of Continuous Integration.
Experience with designing and architecting cloud-based data solutions (Azure, AWS or GCP)
Solid software architecture skills, keen to leverage patterns to write code which is resilient, scalable, and maintainable
You have experience working in agile teams, and using supporting tools such as JIRA
Excellent communication skills in English, Swedish is a plus

Tools and software used by the teams: Azure Synapse, Azure Data Factory, Databricks, Azure Analysis Services, Azure Data Lake, Airflow, Power BI, Tableau and many others.




Additional Information


Practical info
Please apply with CV and cover letter as soon as possible but at the LATEST 11th of Jan 2021.
We love code! If you have contributed to Github project(s), also send those to us together with the CV. We are more than happy to take a look!
Do you think we are a match? We hope so!
This position is placed in Stockholm, Sweden.