Tesco Polsko Kraków Hybrid Full-Time Na dobu neurčitou Pracovní doba 40 Podat žádost do 30-lis-2026
Informace o roli
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 Senior Data Engineer to join our team of analytics experts. In this role, you will lead the evolution of our data platform and data pipeline architecture, driving the design of scalable, reliable, and high-performing data solutions. Beyond implementation, you will influence architectural decisions, establish engineering best practices, and help shape the technical direction of our data ecosystem. You will also play a key role in optimizing data flow, accessibility, and governance to meet the growing needs of cross-functional teams across the organization.
Our ideal candidate is an experienced data engineering professional who thrives on solving complex technical challenges and building robust data systems at scale. As a Senior Data Engineer, you will work closely with software engineers, database architects, data analysts, data scientists, and product teams to deliver impactful data-driven solutions. You will provide technical leadership across initiatives, mentor fellow engineers, and ensure that our data architecture remains scalable, resilient, and aligned with business objectives. You will be expected to balance hands-on engineering with architectural ownership, driving consistency and engineering excellence across multiple projects and teams.
Co z toho budete mít
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. If you choose to join our business, we will provide you with:
- 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
Za co budete zodpovědný/zodpovědná
- Leading the design, development, and evolution of scalable, reliable, and secure data pipeline architectures.
- Building and optimizing large-scale data solutions that meet business, performance, and operational requirements.
- Driving platform improvements through automation, infrastructure modernization, and continuous optimization.
- Designing and maintaining robust data ingestion, transformation, and delivery frameworks across diverse data sources.
- Partnering with Product, Engineering, Analytics, and Business stakeholders to deliver scalable data solutions and influence technical direction.
- Championing data quality, security, observability, and operational excellence across the data platform.
- Building data products and self-service capabilities that empower analysts and data scientists.
- Mentoring engineers, promoting best practices, and contributing to the long-term technical strategy of the data platform.
Budete potřebovat
Mandatory skills:
- Apache Spark (Scala or Python)
- Kubernetes
- Airflow
- Lakehouse technologies
- Distributed Storage (S3/HDFS/CEPH)
- Data Modeling
- CI/CD
- Cloud-native data platforms.
Nice to have skills:
- Apache Kafka
- Stream Processing
- Functional Programming
- Iceberg/Delta Lake/Hudi
- Data Observability
- Data Governance
Unsure if you fit all the criteria? Apply and give us the chance to evaluate your potential – you could be the perfect fit!
O nás
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.
Want to get to know us better? Watch our team talk about our culture – YouTube
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