If you are passionate about data and eager to tackle some of the most interesting AI analytics and data use cases in the fashion retail industry COS is the place for you!
We are looking for an experienced data engineer who likes to resolve complex issues and choose the best course of action. In this exciting and critical role you will help us build data products that directly impacts business spanning all global COS.
You will join COS data engineering team within COS AI analytics and data (aiad) function.
We appreciate a multitude of technical backgrounds and we believe you will enjoy working here if you are passionate about this role you will be required to implement data-intensive solutions for a data-driven organization.
What you will do:
- Take end-to-end responsibility to build optimize and support of existing and new data products towards the defined target vision
- Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure in our context it is GCP (Google Cloud Platform).
- Ensure 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.
- Develop and optimize complex data pipelines ensuring smooth data flow across multiple business domains
- Understand business issues create data-driven solutions and present them to stakeholders ensuring alignment with the business goals
- Work close to the stakeholders around vision for existing data products and identifying new data products to support our business needs.
- Work with product teams within COS and across H&M group around topics that relate to our data modernization initiative.
- Evaluate and drive continuous improvement and reducing technical debt in the teams
- Maintain expertise in latest AI analytics/data and cloud technologies
Qualifications :
Alignment to our company values is the most important characteristic we look for in all new joiners. Our values are the behaviours that we appreciate above and beyond anything else. We are open-minded and curious we dare to be different we believe in constant improvement and we empower and trust you to take ownership. Our values are part of who we are what we stand for and how we act.
What you need to succeed:
- Extensive work experience including hands-on as either:
- Data engineer on modern cloud data platforms /or advanced analytics environments.
- Software Engineer with cloud technologies and infrastructure
- Experience in different data formats (Avro Parquet)
- Experience in data query languages (SQL or similar)
- Experience in data centric programming using one of more programming languages Python Java /or Scala.
- Good understanding of different data modelling techniques and trade-off
- Good understanding of Data Lakes Data Mesh principles domain-oriented data ownership and governance
- Knowledge of NoSQL and RDBMS databases
- 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
- Experience in working with data visualization tools PowerBI/Looker studio etc.
- Experience in DBT for data transformation and GCP tools Dataflow Bigquery etc
- GCP (or/& Azure) data engineering certification is a plus
- Fluent in English both written and verbal
Additional Information :
This is a full time permanent contract based at our Head Office in Liljeholmen Stockholm
If you feel this opportunity is exciting feel free to apply by sending in yourCV in Englishas soon as possible. Due to data policies we only accept applications through our career page.
In this role you will have the flexibility to work both remotely and from the office. While remote working is part of our offer approx. 4 days per week office presence is required to foster strong collaborations and team work.
WHY YOULL LOVE WORKING HERE
We offer all our employees attractive benefits with broad development opportunities. All our employees receive a staff discount usable on all our H&M Group brands in stores and addition to our staff discount all our employees are included in our H&M Incentive Program HIP. You can read more about our H&M Incentive Program here.
In addition to this H&M-based colleagues also receive:
- 30 days holiday
- A collective agreement which includes pension and life insurance
- Wellness benefit 3000kr/year
- Benify Benefits Portal
JOIN US
Our uniqueness comes from a combination of many things our inclusive and collaborative culture our strong values and opportunities for growth. But most of all its our people who make us who we are.
We are committed to a recruitment process that is fair equitable and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
We look forward to hearing from you.
Remote Work :
No
Employment Type :
Full-time
If you are passionate about data and eager to tackle some of the most interesting AI analytics and data use cases in the fashion retail industry COS is the place for you! We are looking for an experienced data engineer who likes to resolve complex issues and choose the best course of action. In th...
If you are passionate about data and eager to tackle some of the most interesting AI analytics and data use cases in the fashion retail industry COS is the place for you!
We are looking for an experienced data engineer who likes to resolve complex issues and choose the best course of action. In this exciting and critical role you will help us build data products that directly impacts business spanning all global COS.
You will join COS data engineering team within COS AI analytics and data (aiad) function.
We appreciate a multitude of technical backgrounds and we believe you will enjoy working here if you are passionate about this role you will be required to implement data-intensive solutions for a data-driven organization.
What you will do:
- Take end-to-end responsibility to build optimize and support of existing and new data products towards the defined target vision
- Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure in our context it is GCP (Google Cloud Platform).
- Ensure 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.
- Develop and optimize complex data pipelines ensuring smooth data flow across multiple business domains
- Understand business issues create data-driven solutions and present them to stakeholders ensuring alignment with the business goals
- Work close to the stakeholders around vision for existing data products and identifying new data products to support our business needs.
- Work with product teams within COS and across H&M group around topics that relate to our data modernization initiative.
- Evaluate and drive continuous improvement and reducing technical debt in the teams
- Maintain expertise in latest AI analytics/data and cloud technologies
Qualifications :
Alignment to our company values is the most important characteristic we look for in all new joiners. Our values are the behaviours that we appreciate above and beyond anything else. We are open-minded and curious we dare to be different we believe in constant improvement and we empower and trust you to take ownership. Our values are part of who we are what we stand for and how we act.
What you need to succeed:
- Extensive work experience including hands-on as either:
- Data engineer on modern cloud data platforms /or advanced analytics environments.
- Software Engineer with cloud technologies and infrastructure
- Experience in different data formats (Avro Parquet)
- Experience in data query languages (SQL or similar)
- Experience in data centric programming using one of more programming languages Python Java /or Scala.
- Good understanding of different data modelling techniques and trade-off
- Good understanding of Data Lakes Data Mesh principles domain-oriented data ownership and governance
- Knowledge of NoSQL and RDBMS databases
- 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
- Experience in working with data visualization tools PowerBI/Looker studio etc.
- Experience in DBT for data transformation and GCP tools Dataflow Bigquery etc
- GCP (or/& Azure) data engineering certification is a plus
- Fluent in English both written and verbal
Additional Information :
This is a full time permanent contract based at our Head Office in Liljeholmen Stockholm
If you feel this opportunity is exciting feel free to apply by sending in yourCV in Englishas soon as possible. Due to data policies we only accept applications through our career page.
In this role you will have the flexibility to work both remotely and from the office. While remote working is part of our offer approx. 4 days per week office presence is required to foster strong collaborations and team work.
WHY YOULL LOVE WORKING HERE
We offer all our employees attractive benefits with broad development opportunities. All our employees receive a staff discount usable on all our H&M Group brands in stores and addition to our staff discount all our employees are included in our H&M Incentive Program HIP. You can read more about our H&M Incentive Program here.
In addition to this H&M-based colleagues also receive:
- 30 days holiday
- A collective agreement which includes pension and life insurance
- Wellness benefit 3000kr/year
- Benify Benefits Portal
JOIN US
Our uniqueness comes from a combination of many things our inclusive and collaborative culture our strong values and opportunities for growth. But most of all its our people who make us who we are.
We are committed to a recruitment process that is fair equitable and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
We look forward to hearing from you.
Remote Work :
No
Employment Type :
Full-time
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