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Data Engineer

Technology
OEC
1 miesięcy temuDo 9.05.2026
Pełny etatHybrydowa

Opis stanowiska

Since the year 2000, OEC has grown globally to more than 1,000 employees with a double-digit revenue increase nearly every year. We provide a lively culture, employee rewards and recognition, and the opportunity to develop and implement innovative technology solutions.

OEC creates automotive technology, helping repair shops, auto part distributors, and manufacturers run their businesses more effectively and profitably through e-commerce and data innovation. We increase efficiency across the automotive aftermarket, OEM, collision, mechanical, and supply chain spaces by connecting repair shops, dealers, parts distributors, and manufacturers within one seamless e-commerce platform. OEC makes finding and ordering the right parts simple, fast, and accurate.

Job Summary The Data Engineer will help us build and maintain infrastructure for OEC Catalogue data. You will be responsible for managing data systems and ensuring information accuracy to support business operations and requirements. This position will work closely with OEC engineers to maintain database safety and security, preventing unauthorized access and potential data leaks.

What You’ll Accomplish

Develop and maintain OEC catalogue data.

Build pipelines to extract data from primary and secondary sources.

Build and maintain datasets to support Business and Product needs.

Analyze data in case of errors or mismatches.

Collaborate with Product teams and Analysts to resolve data issues.

Build and maintain our data architecture by staging, transforming, and finalizing datasets that meet high quality standards through both out-of-the-box and custom testing, as well as QA processes, ensuring they are used across the organization.

Develop and document this central source of truth for OEC and support our internal digital transformation.

Who You Are

You have 2+ years of experience in data processing.

Strong proven track record of developing and testing database scripts, stored procedures, triggers, functions, SSIS packages, AWS cloud services (AWS Glue, AWS Databases), and other back-end processes supporting system integration.

Strong proficiency in Python (Spark) and data visualization tools.

You enjoy critical thinking and apply data-oriented, systematic approaches to solving problems.

You are articulate, with excellent written and verbal communication skills.

You can work independently in a fast-paced environment.

You pride yourself on being tech-savvy and learn new processes and software tools quickly.

You are highly detail-oriented and organized.

Nice to Have

Experience developing and deploying systems supporting business intelligence, reporting, and data warehouse solutions using both Azure and AWS cloud platforms

Experience implementing robust user access controls and data security measures across cloud environments.

This is a hybrid role, working from the OEC Cracow office about 1 day a month is required.

We have updated our Privacy Policy to comply with the new European Union data protection law. Please note that OEC is a US-based company, as such, your personal information supplied during the job application process by using this website may be sent to the US. If you do not agree to the transfer of your data to the United States of America, applying for employment by using this website is not possible.

Please send your application documents by post under the address: OEC sp. z o.o., or to the email address HRKrakow@oeconnection.com. If you agree to the transfer, please select the Apply button. By applying for this role with one of the companies in the OEC Group, you are consenting to the processing and retention of your personal data in accordance with the company’s data protection policies.

Please refer to our Candidate Privacy Policy for more information.

Keywords
Data ProcessingDatabase ScriptsStored ProceduresTriggersFunctionsSSIS PackagesAWS GlueAWS DatabasesPythonSparkData VisualizationData ArchitectureQA ProcessesBusiness IntelligenceReportingData WarehouseData EngineeringCatalogue DataData SystemsE-commerceData InnovationData AccuracyDatabase SecurityData PipelinesData ExtractionData TransformationData QualityDigital TransformationSSISAWSAzure

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