Job vacancy - Data and Analytics Engineer
Position: Data and Analytics Engineer
Reference: acsEJead
Location: Gatwick
Salary: £40,000 - £45,000 per annum
The Data and Analytics Engineer will be reporting directly to the Chief Information Officer, driving a data-driven agenda throughout the company to ensure that we continue to treat data as a strategic asset and leverage it for operational excellence. You will provide data and analysis for the organisation to enable data-driven decision-making.
- Delivery of daily reporting datasets to agreed KPI's
- Support the business in understanding complex business processes and presents solutions that support business improvement
- Regression testing
- Comprehend complex data structures with an ERP system and convert these into structures and schema suitable for reporting, such as Data vault or Kimball
- Able to present information in an easily consumed presentation format, suitable for end-users and stakeholders
- Understand the end-to-end architecture required to deliver a data solution and be able to select appropriate tools
Key Requirements of Data and Analytics Engineer:
- A software development mindset
- Expertise in SQL (preferably T-SQL or PL/SQL)
- Data Modelling (e.g. Data Vault, Kimball, 3NF, Imnon)
- Proficiency in a programming language (preferable Python, JavaScript, or C#)
- Strong knowledge of Git (or other VCS)
- Stakeholder Management
Desirable:
- Snowflake / Firebolt
- Knowledge of an ETL/ELT tool (e.g. Matillion, dbt, Alteryx, Five Tran, Ab Initio, Azure Data Factory)
- Apache Beam / Airflow
- Cloud platforms (specifically Azure/AWS)
- JIRA Software and Service Desk
ACS are recruiting for a Data and Analytics Engineer. If you feel that you have the skills and experience required in this advertisement to be a Data and Analytics Engineer, please submit your CV including an outline of your experience as a Data and Analytics Engineer. It is always a good idea to include a covering letter outlining your experience as a Data and Analytics Engineer with your application as this will enhance your chances of selection and improve your prospects of landing the Data and Analytics Engineer role you desire.