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Senior Data Engineer (Fulfillment)

Summary

Build and optimize data pipelines for Tesco’s fulfillment systems using Spark, Hive, and Airflow to ensure efficient order and delivery data processing for retail logistics.

Job Description

The Fulfillment Data department at Tesco Technology is at the forefront of data processing and order fulfillment 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.

We're expanding and actively seeking a skilled Data Engineer to enhance our data and pipeline architecture, optimizing data flow for cross-functional teams.

Our ideal candidate is an experienced data pipeline builder and enthusiast who enjoys optimizing data systems. As a Data Engineer, you'll collaborate closely with various teams, ensuring consistent, optimal data delivery across all projects.


Salary
UoP: 26 000 - 34 000 PLN gross/month

Hybrid working

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.

Our benefits

Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues.

  • 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

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.


About us
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.

What our colleagues like the most at Tesco:
  • We develop our own products
  • We make an impact; large scale of operation
  • Accountability and respect are given to us
  • We cooperate and support each other
  • There are great colleagues who are divided into small teams here
  • We can develop and learn new things

Discover how our colleagues shape Tesco’s tomorrow.

Mandatory skills:
  • 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
Nice to have skills:
  • Functional programming
  • Apache Kafka
  • Kubernetes
  • Stream processing
  • CI/CD

See also