At a Glance
- Tasks: Transform and clean data for live systems and analytical workflows.
- Company: Join a forward-thinking client with a focus on data innovation.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to learn new tools and techniques.
- Why this job: Make an impact by improving data quality and driving innovation in analytics.
- Qualifications: 2:1 degree in a technical field and experience with SQL and programming.
The predicted salary is between 45000 - 65000 £ per year.
Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience
Job Details
- Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows
- Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans
- Maintain process quality and robustness through coding best practice, including version control, documentation and peer review
- Investigate and elaborate data issues to help drive continuous improvement in data quality
- Migrate Legacy processes to new data platforms
- Learn new tools and techniques to support data processing and analytics as we expand our toolkit
Skills we would love you to have
- Minimum 2:1 in a relevant technical degree.
- A good understanding of database architecture and querying using SQL.
- A sound understanding of data transformation and cleaning.
- Programming experience using any language such as Python.
- Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik
- 2- 4 years experience, good communication to work across functional team
We think you need these skills to ace Remote Data Engineer in Portsmouth
SQL
Python
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration
