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As the world's leading video and ecommerce retailer, QRG has a history of growth and sucess that goes unmatched. We are an $8.8 billion business that reaches over 300 million homes worldwide. QRG continues to grow on-line, on-air, and through mobile. Ranked as the #3 largest mobile commerce player among multi-category retailers and with nearly 3 million downloads for QVC apps for iPhone and iPad in US, UK and Germany, our global IT organization is expanding and we are in search of tech talent to join our high performing team. We are an innovative, technology-driven company that embraces corporate responsibility and is committed to our people.

The Opportunity

As a Senior Data Engineer, you will work with a versatile agile team of data engineers and data scientists to build high quality cloud-based DevOps infra and data pipelines for industrialization of ML models and driving analytics solutions. Solutions derived from this work will produce dashboard visualizations and insights in from the business data, allowing our ML products to promote the data-driven decision-making and add capabilities from forecasting, personalization over to optimization to various use cases like pricing, marketing, supply chain and others. We ask that you understand data architecture, data engineering, data analysis, modeling, API creation, reporting, and general data science techniques and workflows. You should also be an experienced data/software engineer with experience creating data products supporting analytic solutions. The Senior Data Engineer will work as part of an international analytics team. You will report to the QI VP Advanced Analytics. You will be located at our office in Duesseldorf(DE) or Chiswick Park(UK) and would be in the office in a hybrid capacity.

Who We Are

As Qurate Retail Group's recently build Advanced Analytics Team, we are at the fore-front of machine learning applied to the V-Commerce and E-Commerce business with the main goal to accelerate innovation and enhance data-driven decision making at QRG. Within QRG, we are bringing next generation machine learning models to inspire our internal customers to collaborate in the use of advanced analytics techniques, transform their business approach and together deliver a better consumer experience.

If you are innovative, soulful, and passionate with a sincere interest in changing and improving the human shopping experience, join us.

Your Impact

• Design, develop, optimize, and maintain data architecture, models, APIs, and pipelines that adhere data architecture principles and our goals
• Solve complex data problems to deliver insights that help our business to achieve their goals
• Create data products togetherwith data scientist team members toenhance business productivity
• Lead the evaluation, implementation and deployment of new tools and processesfor data engineering to improve our productivity as a team
• Develop and deliver plans on data engineering capabilities, standards, and automation processes
• Partnerwith data science, EDM and IT teamto develop technical architectures for projects
• Keen interest in the connection to the data science team activities such as machine learning, data science, artificial intelligence,statistics,NLPor applied mathematics
• Coach peers on tech team, specifically with code reviews and pair programming

What You Bring

• Bachelor's degree(Master’s preferred)in Computer Science or relevant field or equivalent business experience required
• Considerable number of years of work experience in software development and design,experience with emphasis on data warehousing concepts, database design patterns, ETL& preprocessingmethodologies
• Considerable number of years of hands-on experience developing data engineering processes and SQL. Transform massive quantities of heterogeneousData, Data cleansing, Data wrangling, and Data quality. Experience in distributed systems and Spark.
• Considerable number of years of hands-on experience using Cloud tools (e.g. Azure Databricks, Azure Delta Lake, Azure Data Factory, SQL Server, Azure Synapse, Azure DevOps, Data Lake (ADLS), Databricks Notebooks)
• Considerable number of years of hands-onexperience inDevOps including maintaining containerized services (e.g. Docker), CI/CD pipeline activities using toolsets such as Azure DevOpsand Azure Git Repo. Knowledge in Kubernetes is desirable.
• Keen interest in ML product development and automation over the full life-cycle.
• Understanding of the impacts of regulations, laws and company policies, standards and procedures to their role
• Experience with agile methodology (Scrum) and source code management tools. Strong capabilities to manage operational expectations such as delivery methods, timelines and solving issues.
• Mentor mindset, with the goal of growing the team's potential.Good communicator to technical and non-technical audience.
• Belief in a culture of trust, positive mindsetand complete transparency
• Fluent in English (must have), German language skills (desired)
• Highly desirable: Ecommerce and media / entertainment industry experience

What we offer

• Open and dynamic working atmosphere
• Attractive remuneration model
• Flexible working time model with flexitime regulation to promote work-life-balance (including overtime regulation)
• Offers within the frame work of company health management
• 20% employee discount on the QVC product range
• Employer-fundedpension
• Wider ange of training opportunities