Data Engineer (Fulfillment)

Company Description

Tesco Technology is multi-functional and specialist team that drives operational excellence of services improves scale for our systems and processes globally and creates business leading capabilities.

We are an agile team of an industry-leading team of engineers. We create the future continuous integration and delivery tools for Colleague and Customer & Loyalty areas, solving problems, and developing new features through quality, scalable, performant, and maintainable technical solutions. The solutions that we are responsible for will have a global reach, impacting hundreds of thousands of Tesco colleagues worldwide.

We operate in a DevOps philosophy. We take responsibility for the software through its entire lifecycle. We practice continuous integration, delivery, and support of our code through to production and beyond.

As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Hungary, and India.

Job Description

This job requires to be based in/close to Kraków. We currently work in a hybrid model and meet in our office 3 days a week.

The Data Engineering department at Tesco Technology is at the forefront of data processing within the retail and technology industry. This vital department handles a range of responsibilities, including:

• Analyzing order and delivery data to optimize logistics processes and enhance delivery efficiency.
• Managing critical data related to customer orders, suppliers, and products to ensure the seamless flow of our fulfillment operations.
• Upholding data integrity and security during the processing of order and delivery-related information.

As we continue to expand, we are actively seeking a skilled Data Engineer to join our team of analytics experts. In this role, you will take charge of expanding and refining our data and data pipeline architecture. Additionally, you will be instrumental in optimizing data flow and collection to cater to the needs of cross-functional teams.

Our ideal candidate is an experienced data pipeline builder and data enthusiast who relishes the opportunity to optimize data systems and construct them from the ground up. As a Data Engineer, you will collaborate closely with software developers, database architects, data analysts, and data scientists on various data-driven initiatives. You will play a crucial role in ensuring that the optimal data delivery architecture remains consistent across all ongoing projects.

This role calls for a high level of self-direction and the ability to effectively support the data requirements of multiple teams, systems, and products. If you are enthusiastic about the prospect of optimizing, and possibly even redesigning, our company's data architecture to support our next generation of products and data initiatives, we encourage you to apply and be part of our dynamic team shaping the future of our data operations!

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large complex data sets that meet functional / non-functional business requirements.
• Identify design and implement internal process improvements: automating manual processes optimising data delivery re-designing infrastructure for greater scalability etc.
• Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure
• Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

Mandatory skills:

• Data Processing: Apache Spark - Scala
• Data Storage: Apache HDFS or respective cloud alternative
• Resource Manager: Apache Yarn or respective cloud alternative
• Lakehouse: Apache Hive/Kyuubi or alternative
• Workflow Scheduler: Airflow or alternative 

Nice to have skills:

• Functional programming
• Apache Kafka
• Kubernetes
• Stream processing
• CI/CD

Unsure if you fit all the criteria? Apply and give us the chance to evaluate your potential – you could be the perfect fit!

Additional Information

We value flexibility at Tesco; therefore, this position is also available for candidates who are interested in working part time – about 120 hours a month or more. Please let us know what would work for you. 

Benefits

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with:

• Permanent contract from the go – as a sign of our trust in your abilities
• Up to 20% yearly salary bonus – for employment contract colleagues only – based on both individual and business performance
• IP Tax Deductible Costs
• MacBook as your tool for work
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Sports activities with a personal trainer
• Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily.
• Referral Bonus
• Relocation Help

If that sounds exciting, then we'd love to hear from you.

Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.