Analytics Engineer - AI & Analytics Consultancy - Hybrid - TWE43377
Analytics Engineer – Hybrid, Central LondonInterested in this role You can find all the relevant information in the description below.
We're partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They're expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions.
The role:
You'll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams.
Key responsibilities:
- Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake)
- Develop custom data connectors (e.g. Salesforce, SAP)
- Automate data cleansing and transformation workflows
- Support analytics and AI teams with clean, production-ready data
About you:
- 3+ years in Analytics/Data Engineering
- Strong SQL and database design skills
- Proficient in Python or R for automation
- Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake)
- Passion for data quality, scalability, and collaboration
Nice to have:
Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow).
Perks:
EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year
Why apply?
Join a fast-growing team of engineers, analysts, and data scientists solving complex problems with societal and commercial impact. This is a chance to take real ownership and accelerate your data career. Apply now or get in touch for more details - isaac.salem@twentyai.com
Remote working/work at home options are available for this role.- Company
- twentyAI
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted
- Company
- twentyAI
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted