- Accepted Ltd
- Athens, Attica
- Full-Time
- 4 days ago
A
Accepted Ltd
Data Engineer.
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Data Engineer: our view in 3 lines...
- The Role:A data engineer is needed to support data pipelines and modelling for client delivery teams in finance, energy, gaming and telecoms.
- The Person:The person will design, develop and maintain data pipelines, implement data models and data integration solutions, carry out data profiling, cleansing and transformation, and monitor and troubleshoot pipeline issues.
- Requirements:The role calls for Python, PySpark, SQL, ETL and DW experience, Kimbal/Inmon data modeling, Data Vault 2.0, Azure, Databricks, SQL Server, SSIS, SSAS, Azure Data Factory, Power BI, Airflow, Prefect, Dagster, Git, and a Computer Science degree.
About the role
Working model: Hybrid | Type: Full-time
Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond. With 20+ years of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.
We’re looking for a Data Engineer to strengthen our hybrid delivery teams.
What You’ll Do
- Pipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing;
- Data Modeling: Implement and optimize data models, data storage, and data integration solutions;
- Data Transformation: Perform data profiling, data cleansing, and data transformation activities;
- Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
Requirements
What You’ll Bring
- Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark);
- Minimum 3 years of professional development experience in SQL, ETL & DW;
- Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0);
- Practical knowledge with a Cloud Platform (e.g. Azure, Databricks);
- Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI);
- Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster);
- Familiar with Git or other version control tools;
- A degree in Computer Science or related field.
Benefits
Why Accepted
- Competitive compensation aligned with your experience and skills;
- Annual bonus scheme linked to company performance;
- Private medical, dental, and life insurance coverage;
- Ongoing professional development through training and certifications;
- Structured mentoring to support your growth and advancement.
Your Next Step
Apply today and grow with a company where innovation, trust, and excellence come together. All applications are confidential. We are proud to be an Equal Opportunity Employer.
