Data Engineer (Senior)

COS; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading fashion retail brand seeks an experienced Data Engineer to support AI and analytics initiatives. This full-time role involves managing cloud data products, developing data pipelines, and collaborating with various teams. Candidates should have significant experience in data engineering and cloud platforms, with a focus on improving business outcomes via data-driven solutions. Attractive benefits include discounts and a pension scheme, with a hybrid work model requiring some office presence in London.

Benefits

25% staff discount

20 days holiday

Pension scheme

Discounted gym membership

Cycle to work scheme

Qualifications

• Extensive work experience as a Data Engineer or Software Engineer.
• Hands-on expertise with modern cloud data platforms.
• Experience with data formats like Avro and Parquet.

Responsibilities

• Build and optimize data products towards defined vision.
• Manage CI/CD pipelines and cloud infrastructure on GCP.
• Develop and optimize complex data pipelines across business domains.

Skills

Data engineering

Cloud technologies

Data query languages (SQL)

Python

Data visualization tools

Collaboration

Education

GCP data engineering certification

Tools

PowerBI

BigQuery

Dataflow

Job description

Company Description

COS offers a wardrobe of ready-to-wear and accessories rooted in exceptional quality and lasting design. The creative soul of the brand is fuelled by a deep connection to modern culture, dynamic global cities and compelling fashion movements. With an emphasis on expert craftsmanship, innovation and materiality, collections are created with a mindful approach, seamlessly blending contemporary and timeless.

Job Description

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!

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 London.

Benefits

We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online.

• 20 days holiday
• Discounts on everyday brands and leisure activities
• Retail Trust membership
• Pension scheme
• Discounted gym membership
• Cycle to work scheme

Inclusion & Diversity

At COS we're determined to create and maintain inclusive, diverse and equitable workplaces throughout our organisation. Our teams should consist of a variety of people who share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, what we perceive as possible and how we choose to relate to our colleagues and customers all over the world, therefore all diversity dimensions are taken into consideration in our recruitment process.

In this role you will have some flexibility to work remotely however due to the high level of cross department collaborations approx. 3 days per week office presence is required to foster strong collaborations and team work.

Ready to apply?

Click on the I'M INTERESTED link where you can upload your CV securely. Once we have received your application, we will keep you updated regularly about the status of your application so please look out for our email.