Data Engineer

3 months ago

Kraków, Czech Republic Tesco Technology Full time
Qualifications

Mandatory skills:

  • Data Processing: Apache Spark - Scala or Python
  • 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


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.

Job Description

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

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.

Company Description

Tesco is a leading multinational retailer, with more than 330 000 colleagues.

Our software is used by millions of people across several countries every day. Whether it’s the tills and websites our customers use, or the systems our colleagues and partners use, you’ll play your part in keeping it running like a well-oiled machine. And when a business problem pops up? You and the creative minds in our team will be challenged to solve it.

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

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
,[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.] Requirements: Hadoop, Scala, Kafka, Kubernetes, Spark, Spark Streaming, Hive, Functional programming Additionally: International projects, Private healthcare, Small teams, Sport subscription, Free coffee, Canteen, Bike parking, Playroom, Mobile phone, Free parking, Modern office, No dress code, Shower.

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