Middle Data Engineer

externaljobboards; Polska; Hybrid; PLN 150,000 - 230,000; Full time

Benefits offered by this job

International projects

In-office, hybrid, or remote flex

Medical healthcare

Recognition program

Ongoing learning & reimbursement

Well-being program

Team events & local benefits

Sports compensation

Referral bonuses

Top-tier equipment provision

Job summary

Exadel is seeking a data engineering professional to design, build, and optimize ETL/ELT pipelines, transforming both customer and internal data into actionable datasets. You will collaborate with Markets and Product teams to create dashboards that guide strategy and serve client needs.

You will also build and maintain data lakes and feature stores used by the ML Engineering team to develop ML solutions for subrogation, leveraging Spark, AWS data services, and modern data architectures.

Qualifications

• Proficient in Python and SQL for data processing and pipeline development.
• Experience with distributed processing technologies, especially Spark.
• Hands-on experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS).
• Familiar with data lake architectures (bronze/silver/gold) and schema management.
• Ability to debug data quality issues across distributed systems and implement data quality frameworks.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets
• Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs
• Build and maintain data lakes and feature stores used by ML Engineering to develop ML solutions for subrogation

Skills

Python

SQL

Data Modeling

Data Quality

Debugging

Tools

Spark

AWS Glue

Amazon S3

Step Functions

Athena

EMR

DynamoDB

SQS

Kafka

MongoDB

Terraform

CloudFormation

Job description

Why Join Exadel

We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what's next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You'll Do

• Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets


• Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs


• Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation

What You Bring

• Proficiency in Python and SQL


• Experienced in Spark or similar distributed processing technologies


• Experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS)


• Experience working with data streaming technologies (Kafka, Spark Streaming, etc.)


• Familiarity with MongoDB and document-oriented data sources


• Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing


• Comfort with IaC (CloudFormation or Terraform)


• Ability to debug data quality issues across distributed systems


• Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity

Nice to have

• Experience in subrogation, claims processing, insurance or financial technology

English Level

Intermediate +

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more

Reasonable accommodations are available to enable individuals with disabilities to perform essential functions

Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects


• In-office, hybrid, or remote flexibility


• Medical healthcare


• Recognition program


• Ongoing learning & reimbursement


• Well-being program


• Team events & local benefits


• Sports compensation


• Referral bonuses


• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.