Senior Analytics Engineer

Opportunityour
Slough, UK
14 days ago
Apply on www.apply4u.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£169,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Cloud Database Information Engineering Extract Transform Load (ETL) Data Warehousing Performance Tuning Standard Sql SQL Databases Snowflake Looker Analytics
+2 more
Software Version Control Data Pipelines

Job description

and maintain Looker models, explores, and dashboards.Implement data quality controls, testing frameworks, and monitoring processes.Optimise data pipelines, warehouse performance, and reporting layers.Collaborate with engineering teams to ensure source data supports downstream requirements.Manage delivery blockers and communicate progress to stakeholders.Support adoption and enhancement of BI and analytics capabilities.Contribute to AI-driven initiatives through data and automation technologies. Essential Skills & Experience6+ years’ experience in Analytics Engineering, Data Engineering, BI Engineering, or similar.Advanced SQL skills with strong optimisation and troubleshooting experience.Strong understanding of data warehousing and data modelling principles.Experience designing and maintaining end-to-end data pipelines.Hands-on experience with cloud data warehouses, particularly Snowflake.Strong knowledge of ELT/ETL methodologies.Experience, implementing testing and data quality

Requirements

practices, Ability to independently deliver technical solutions from requirements to implementation.Strong stakeholder engagement and communication skills. Desirable Skills & ExperienceStrong experience with Looker, including LookML and semantic modelling.Experience using the Looker API for automation and integrations.Knowledge of workflow orchestration and DAG-based dependency management.Python development experience, particularly for automation and integrations.Experience working within a software or technology environment.Exposure to AI technologies and practical business applications.Knowledge of version control and collaborative development practices. Ideal CandidateThe successful consultant will combine strong analytics engineering expertise with excellent stakeholder management skills. They will be comfortable engaging with business users to clarify requirements, define solutions, plan delivery, resolve blockers, and communicate progress throughout the project lifecycle.Candidates should demonstrate:Excellent SQL proficiency.Strong Snowflake knowledge.Experience with end-to-end pipeline design.Hands-on Looker expertise.AI exposure within a professional environment.Testing and performance optimisation experience.Strong stakeholder engagement and communication skills.Ability to own and deliver defined technical outcomes.

About the company

Senior Analytics EngineerContract Inside IR35 £650 per day - 6 Months The OpportunityOur client, a leading software company, is looking for a Senior Analytics Engineer to join its established data team. You’ll play a key role in delivering scalable, high-quality data products that support analytics, reporting, and business decision-making across the organisation.Working within a modern cloud data environment, you’ll build trusted datasets, optimise data models, and enable stakeholders to gain meaningful insights from data. You’ll own defined technical deliverables, translate business requirements into implementation plans, and deliver robust analytical solutions. Key ResponsibilitiesDesign, develop, and maintain analytical data models and transformation pipelines.Build clean, tested, documented, and scalable datasets for reporting and analytics.Develop and optimise complex SQL transformations.Gather, clarify, and translate business requirements into technical solutions.Develop

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk
Prepare application

Good distractions

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

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

Videos

See all

Related articles

See all