Data Engineer (Stores/Customer Order) @ Tesco Technology
Tesco Technology
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Benefits offered by this job
Job summary
Tesco Technology in Kraków is hiring a Data Engineer to build and refine our data pipeline architecture and optimize data flow to support cross-functional teams.
You will collaborate with software developers, data scientists, and analysts to ensure scalable, secure data delivery across orders, suppliers, and products, while maintaining data integrity.
The role blends hands-on engineering with a passion for data-driven decision making, in a hybrid setup with office and remote work options.
Qualifications
- Proficient in Spark with Scala or Python.
- Experience with HDFS or CEPH S3 storage.
- Knowledge of YARN as resource manager.
- Familiar with Hive/Kyuubi lakehouse.
- Experience with Airflow or similar workflow scheduler.
Responsibilities
- Create and maintain optimal data pipeline architecture.
- Assemble large complex data sets to meet business requirements.
- Identify design and implement internal process improvements: automating manual processes and redesigning infrastructure for scalability.
- Build the infrastructure required for ETL from diverse data sources.
- Develop analytics tools using the data pipeline to provide actionable insights.
- Collaborate with stakeholders to assist data-related technical issues and support data infrastructure needs.
- Keep data separated and secure.
- Create data tools for analytics and data science teams.
- Work with data and analytics experts to enhance data system functionality.
Skills
Job description
- Data Processing: Apache Spark - Scala or Python
- Data Storage: Apache HDFS, CEPH S3 or respective cloud alternative
- Resource Manager: Apache Yarn or respective cloud alternative
- Lakehouse: Apache Hive/Kyuubi or alternative
- Workflow Scheduler: Airflow or alternative
- Functional programming
- Apache Kafka
- Kubernetes
- Stream processing
- CI/CD
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.
We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about different flexible working options. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support.
This role requires you to be based in or near Kraków, as you will spend 60% (3 days) of your week collaborating with colleagues at our office locations or local sites and the rest remotely.
- Up to 20% yearly salary bonus – based on both individual and business performance
- Permanent contract from the go – as a sign of our trust in your abilities
- Tax-deductible expenses (IP)
- Private healthcare (LuxMed)
- Cafeteria & Multisport
- Additional 4 days of paid leave to support your well-being and family life
- Increase in annual leave (from 20 to 25 days) for those not yet eligible for the full holiday entitlement
- Learning opportunities – certified technical training and a learning platform (Udemy)
- Back-to-school day – 1 day off for parents of primary school children
- Fertility leave – up to 2 weeks of paid leave for IVF treatment
- Sports activities with a personal trainer in the office
- Referral bonus
- MacBook as your work tool
Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.
At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support 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.
- 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
- Hadoop
- Scala
- Kafka
- Kubernetes
- Spark
- Python
- Spark Streaming
- Hive
- Functional programming
- International projects
- Private healthcare
- Small teams
- Sport subscription
- Free coffee
- Canteen
- Bike parking
- Playroom
- Mobile phone
- Free parking
- Modern office
- No dress code
- Shower
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
