At a Glance
- Tasks: Design and maintain scalable data pipelines and integration solutions.
- Company: Join a forward-thinking company in Lincoln with a focus on data innovation.
- Benefits: Earn £27.95 per hour with full-time hours and flexible working options.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact by optimising data processes and supporting analytics initiatives.
- Qualifications: Experience in data engineering and a passion for problem-solving.
The predicted salary is between 27.95 - 27.95 £ per hour.
Data Engineer needed in Lincoln Paying £27.95 per hr ref 376144 Full time hours on a temporary basis.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and data integration solutions.
- Build and optimise ETL/ELT processes to extract data from various source systems.
- Develop and maintain data warehouses, data lakes, and cloud-based data platforms.
- Ensure data quality, accuracy, integrity, and consistency across all data assets.
- Monitor and troubleshoot data pipelines, resolving performance and reliability issues.
- Collaborate with business stakeholders, analysts, and developers to understand data requirements and deliver effective solutions.
- Implement data governance, security, and compliance best practices.
- Support reporting, analytics, and business intelligence initiatives by providing trusted and accessible data.
- Document data architectures, processes, and technical solutions.
If you are interested in the role, please email your CV to verityatessentialemploy quoting the reference number.
Essential Employment is acting as an Employment Business in relation to this vacancy. Essential Employment is an Equal Opportunities Employer.
Data Engineer in Lincolnshire employer: Essential Employment
At Essential Employment, we pride ourselves on being an excellent employer, offering a supportive work culture that values collaboration and innovation. Our Lincoln location provides a vibrant community atmosphere, with opportunities for professional growth and development in the field of data engineering. We are committed to fostering a diverse and inclusive environment where every employee can thrive and contribute meaningfully to impactful projects.
