Data Engineer - Fulfillment (part time) in Tesco Technology

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!

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. 

Salary :

UoP: 14 000 - 20 000 gross for a 3/4 time position

B2B: 15 000 - 23 000

Hybrid working

Currently, at Tesco Technology we work in a hybrid model. We love working from home, but we also love connecting, collaborating and innovating with our colleagues in person. We meet in our office in Kraków for 2 days a week.

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 (for all):

• Permanent contract from the go – as a sign of our trust in your abilities
• MacBook as your tool for work
• Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily
• Referral Bonus
• Sports activities  with a personal trainer in the office

Benefits for colleagues on employment of contract only:

• Additional 4 days of paid leave to support your well-being and family life
• Up to 20% yearly salary bonus – based on both individual and business performance
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Supporting those, who are not yet eligible for full  holiday  entitlement, by expanding their pool from 20 to 25 days
• Relocation Help
• Heightened income costs (KUP)

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.

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

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!

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. 

Salary :

UoP: 14 000 - 20 000 gross for a 3/4 time position

B2B: 15 000 - 23 000

Hybrid working

Currently, at Tesco Technology we work in a hybrid model. We love working from home, but we also love connecting, collaborating and innovating with our colleagues in person. We meet in our office in Kraków for 2 days a week.

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 (for all):

• Permanent contract from the go – as a sign of our trust in your abilities
• MacBook as your tool for work
• Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily
• Referral Bonus
• Sports activities  with a personal trainer in the office

Benefits for colleagues on employment of contract only:

• Additional 4 days of paid leave to support your well-being and family life
• Up to 20% yearly salary bonus – based on both individual and business performance
• Private healthcare (LuxMed)
• Cafeteria & Multisport
• Supporting those, who are not yet eligible for full  holiday  entitlement, by expanding their pool from 20 to 25 days
• Relocation Help
• Heightened income costs (KUP)

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.

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