Summary
✨ AI‑Generated
A growing data engineering team is seeking a mid-level engineer to design, develop, and deploy modern cloud data solutions for global clients. The role combines technical delivery with agile collaboration and provides opportunities to learn from experienced engineers, analysts, and testers while working on impactful analytics platforms.
Highlights
Build modern cloud data solutions in an agile environment, collaborate with experienced engineers and analysts, and contribute to projects that turn data into actionable business insights.
Description
Who We Are
Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas.
With more than 800,000 employees worldwide, we serve clients in more than 120 countries.
We have been operating in Slovakia since 1992 and employ more than 2,100 people in Bratislava and Košice.
Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™.
Join Accenture’s growing Data Engineering team and build the next generation of data and analytics platforms.
As a Data Engineer, you’ll work in an agile, collaborative environment to design, develop, and deploy modern data solutions that help global clients turn data into real business insights.
You’ll be part of a skilled team of engineers, analysts, and testers - learning from experts while contributing to impactful cloud data projects.
YOUR MISSION
Design and implement cloud-native data pipelines across multiple structured and unstructured data sources
Build scalable ingestion and transformation frameworks in Azure, AWS or GCP environments
Contribute to the development of reliable and performant cloud data platforms
Collaborate with architects, analysts and business stakeholders to translate technical requirements into practical data solutions
Support implementation of data quality, monitoring and automation practices
Apply DevOps and CI/CD principles within data engineering workflows
Share technical knowledge and support junior team members when needed
Stay up to date with modern cloud data engineering tools and practices
WHAT’S IN IT FOR YOU?
Flexibility:
Flexible working arrangements (time & place of work)
Recognition:
Guaranteed paid overtime or overtime vacation
German language bonus up to 400€ monthly/gross depending on language proficiency and level of seniority
Flexible Benefit System - budget to be spent on services of your choice
Competitive bonus structure
Refer-a-Friend – get a bonus in the employee referral program
Loyalty rewards
Future:
Wide range of trainings and expert lectures
Regular performance review and career growth possibilities
Ongoing career guidance and mentoring (Global Mentoring Program, Lean In)
Employee share purchase plan
Family & Health:
3 extra days off
Sick leave salary compensation (up to 100%)
Home-office equipment
Family oriented benefits (Wedding, Parental and Baby days-off and bonuses)
Employee assistance services (professional psychological, financial and legal help)
Multisport card
Contribution to special vision correction appliances
Life and disability group insurance
Sport vouchers for children’s sport activities and children camps
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience.
The range of base pay for this role is 1 430€ - 2 890€.
Who You Are
3–5 years of hands-on experience as a Data Engineer
Practical experience with at least one major cloud platform — AWS, Azure, or Google Cloud Platform
Experience with big data systems such as Snowflake, Redshift, Synapse, or BigQuery
Skilled in one or more ETL tools — e.g.
Informatica, Talend, SSIS, Data Factory, Glue
Working knowledge of SQL and/or Python for data processing
Strong analytical mindset and good communication skills
English proficiency (B2 or higher); German language knowledge is a plus
Bachelor’s or Master’s degree in IT or a related field
Nice to have:
Experience with reporting or BI tools (Power BI, Qlik, Tableau, Business Objects)