Data Engineer

Adword

Job title: Data engineering specialist

Locations: London One Braham or Birmingham Snowhill or Bristol Assembly (hybrid-3 days onsite)

Start Date: Ideally 1st April so must be available immediately

Duration: 06 months

IR35: Inside

Job description:

Looking for immediate joiners, Ideally by 1st April

Role Overview

We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics.

The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams.

The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics and enable self-service analytic s.

Key Responsibilities

Analytical Data Modelling

• Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms.
• Build datasets that support consistent business metrics, reporting and analysis.
• Implement modelling approaches such as star schemas, denormalised analytical tables and reusable metric layers.

Data Analysis & Profiling

• Profile complex datasets to understand data structure, quality and business meaning.
• Investigate and interpret source data to inform robust analytical modelling decisions.
• Translate business questions into well-structured analytical datasets.

SQL Engineering

• Develop robust SQL transformations to convert raw source data into trusted analytical assets.
• Ensure analytical models are scalable, performant and maintainable within a cloud data warehouse.
• Optimise SQL logic for performance and efficient data processing.

Collaboration

• Work closely with analysts, visualisation developers, data engineers and business stakeholders.
• Contribute to the development of reusable data assets and consistent analytical definitions.
• Support the evolution of the organisation's analytics data layer and self-service reporting capability.

Essential Skills

• Advanced SQL skills with experience engineering complex analytical transformations.
• Proven experience building analytical data models used by BI tools or reporting platforms.
• Experience designing analytics-ready datasets rather than ingestion pipelines.
• Strong experience with cloud data warehouse platforms (preferably Google BigQuery / GCP).
• Strong data analysis and data profiling capability with the ability to interpret complex datasets.
• Experience implementing analytical modelling approaches such as star schemas or wide tables.

Desirable Skills

• Experience working with semantic layers or metrics layers (e.g. Looker / LookML).
• Experience designing consistent business metrics used across reporting and analytics.
• Python experience for data analysis, automation or advanced analytics workflows.
• Exposure to AI-enabled analytics tools or modern data workflows.
• Experience working in commercial or marketing analytics environments.
• Telecommunications or subscription business experience would be advantageous.

If you're excited about application security, identity management, and creating robust, secure solutions for modern architectures, we want to hear from you!

Please apply with a copy of your CV or send it to Prasanna . merugu @ randstaddigital . com and let's start the conversation!

Randstad Technologies is acting as an Employment Business in relation to this vacancy.