Data Engineer (Fulfillment)

Tesco Technology; Kraków; Hybrid; PLN 223,200 - 290,160; Full time

Benefits offered by this job

Up to 20% yearly bonus

Job summary

Tesko Technology is seeking a Data Engineer in Kraków to expand and refine our data pipeline architecture, optimize data flow, and support cross-functional teams.

The role requires experience with Spark, HDFS/S3, and centralized data platforms. Hybrid work arrangement with 60% in-office collaboration in Kraków and 40% remote. Competitive salary and benefits are offered.

Qualifications

• Experience building data pipelines in large-scale environments.
• Proficiency with Spark and distributed storage systems.
• Knowledge of lakehouse architectures and data governance.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting functional requirements.
• Identify and implement internal process improvements and scalable infrastructure.
• Build ETL/ELT infrastructure from diverse data sources.
• Develop analytics tools to provide actionable insights and metrics.
• Collaborate with stakeholders to support data infrastructure needs.
• Ensure data is secure and compliant.
• Create data tools for analytics and data science teams.
• Work with data and analytics experts to enhance data systems.

Skills

Apache Spark (Scala or Python)

HDFS/Ceph S3 or cloud storage

YARN or cloud resource manager

Lakehouse tools (Hive/Kyuubi)

Airflow or alternatives

Tools

Airflow

Job description

Overview

The Data Engineering department at Tesco Technology leads data processing for the retail and technology industry. The team handles analyzing order and delivery data, managing critical data for customer orders, suppliers, and products, and ensuring data integrity and security.

We are seeking a skilled Data Engineer to expand and refine our data pipeline architecture, optimize data flow, and support cross‑functional teams.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional and non‑functional business requirements.
• Identify and implement internal process improvements, including automating manual processes and redesigning infrastructure for scalability.
• Build the infrastructure for extraction, transformation, and loading from a wide variety of data sources.
• Develop analytics tools using the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics.
• Collaborate with stakeholders, including executive product data and design teams, to assist with data‑related technical issues and support their data infrastructure needs.
• Ensure data is separated and secure.
• Create data tools for analytics and data science teams to support product innovation.
• Work with data and analytics experts to enhance functionality of data systems.

Qualifications

Mandatory Skills

• Apache Spark with Scala or Python.
• Apache HDFS, Ceph S3 or equivalent cloud storage.
• Apache YARN or equivalent cloud resource manager.
• Lakehouse tools such as Apache Hive/Kyuubi or alternatives.
• Workflow scheduler such as Airflow or alternatives.

Nice‑to‑Have Skills

• Functional programming.
• Apache Kafka.
• Kubernetes.
• Stream processing.
• CI/CD.

Location and Working Arrangements

Position based in or near Kraków. Employees will spend approximately 60% (3 days) of the week collaborating in the office or local sites, with the remainder remote.

Benefits

Salary: 20 000 – 26 000 PLN gross per month.

• Up to 20% yearly salary bonus based on individual and business performance.
• Permanent contract from the start.
• Tax‑deductible expenses.
• Private healthcare (LuxMed).
• Cafeteria and multisport.
• Additional four days of paid leave, and increase in annual leave from 20 to 25 days for eligible employees.
• Learning opportunities – certified technical training and access to Udemy.
• Back‑to‑school day – one day off for parents of primary school children.
• Fertility leave – up to two weeks of paid leave for IVF treatment.
• Sports activities with a personal trainer in the office.
• Referral bonuses.
• MacBook as your work tool.

Commitment to Diversity and Inclusion

We are a Disability Confident Employer committed to providing an inclusive recruitment process and allowing candidates to request reasonable adjustments.