Data Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Market Average: Mid-Level Level"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€4,000–€6,800). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 5 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,375/per month | €7,000/per month |
| From job ad (Mid-Level) | €400/per month | €400/per month | €400/per month |
Data Engineer | Knutsford (Hybrid) RED now has a new contract opportunity for a Data Engineer to join one of our key partners on a long-term Enterprise Data Platform & Analytics Programme. This contract is to start ASAP and will be hybrid, with 2-3 days per week onsite in Knutsford, UK. Specific skills/experience required: Strong hands-on experience in Data Engineering and data pipeline development Experience building ETL/ELT pipelines and integrating data across enterprise platforms Strong proficiency with Python, SQL, Spark or similar data processing technologies Experience working with structured and unstructured data at scale Knowledge of cloud-based data services and storage solutions, preferably AWS Experience supporting enterprise data integration initiatives Strong analytical, troubleshooting and problem-solving skills Excellent communication skills in English Candidates must be located in the UK. If you are interested, please contact Julia Dobrowolska at 📧 jdobrowolska@redglobal.com or apply via RED.
Job Details
Responsibilities
- Develop data pipelines and ETL/ELT processes
- Integrate data across enterprise platforms
- Collaborate with data engineering and analytics teams
- Support enterprise data integration initiatives
- Communicate effectively with stakeholders
Requirements
- Strong hands-on experience in Data Engineering and data pipeline development
- Experience building ETL/ELT pipelines and integrating data across enterprise platforms
- Strong proficiency with Python, SQL, Spark or similar data processing technologies
- Experience working with structured and unstructured data at scale
- Knowledge of cloud-based data services and storage solutions, preferably AWS
- Experience supporting enterprise data integration initiatives
- Strong analytical, troubleshooting and problem-solving skills
- Excellent communication skills in English
Skills & Technologies
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