Remote Data Engineer

McCabe & Barton
Leeds, UK
3 months ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Compensation
£45,000.0 - £65,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Computer Programming Databases Data Transformation Data Visualization IBM Cognos Business Intelligence Python (Programming Language) Power BI SQL Databases Tableau (Software) Data Processing
+4 more
Snowflake Qlikview Data Management Software Version Control

Job description

  1. Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows
  2. Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans
  3. Maintain process quality and robustness through coding best practice, including version control, documentation and peer review
  4. Investigate and elaborate data issues to help drive continuous improvement in data quality
  5. Migrate Legacy processes to new data platforms
  6. Learn new tools and techniques to support data processing and analytics as we expand our toolkit

Requirements

  1. Minimum 2:1 in a relevant technical degree.
  2. A good understanding of database architecture and querying using SQL.
  3. A sound understanding of data transformation and cleaning.
  4. Programming experience using any language such as Python.
  5. 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
  6. 2- 4 years experience, good communication to work across functional team

Benefits & conditions

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

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Managing application isolation via pluggable database models

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Standardizing data access schemas with OData

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