Analytics Engineer - East Sussex - Up To £65k - J11848
We have a new Analytics Engineering role has arisen for someone who is passionate about designing and delivering solutions to complex problems. You will have excellent communication skills as you will collaborate with a variety of stakeholders and business functions. You will be a self-motivated individual excited to work on unique and interesting data. Experience of Data Modelling, ELT processes and Big Data are key components of the role.
·Collecting requirements from the wider data team and other decision makers
·Translating use cases, pain points and success criteria into technical requirements
·Designing, building, maintaining and upgrading data pipelines and self-service tooling to provide clean, efficient results
·Writing automated tests to validate requirements are met
·Fixing bugs in a timely manner
·Serving as Data Model subject matter expert and data model spokesperson
·Promoting data governance through documentation, observability and controls
·Implementing solutions which meet our coding standards
·Using version control and performing code reviews
·Promoting adoption of tools and best practices across the team
Skills and Experience
·Commercial expertise using DBT is highly advantageous
·Excellent SQL skills
·Solid experience with AWS/Snowflake/Looker/Fivetran or similar
·Previous commercial experience in the Data space as an analyst, engineer, scientist, or equivalent
·Experience managing the same data models over time and evolving those models to meet new business requirements
If this sounds like the role for you, then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk