Senior Data Engineer

Solvex Solutions; Hounslow; On-site; GBP 32,000 - 53,000; Full time

Job summary

Solvex Solutions is seeking a data engineering professional to design and support scalable data models and distributed ETL pipelines. You will collaborate with stakeholders across multiple business areas to translate data challenges into robust solutions, deploying DataOps practices and guiding teams with modern cloud-based tools.

You will work with BigQuery, Python, SQL, and DBT to deliver high-quality data capabilities, while ensuring governance and architectural alignment.

Qualifications

• Proven experience designing and building complex data models and distributed data pipelines for analytics at scale.
• Advanced SQL skills for high-performance data transformation across large datasets.
• Experience with CI/CD workflows, TDD, and agile collaboration.
• Bachelors or Masters in Computer Science, Software Engineering, or related field.
• Experience delivering large-scale data warehousing (dimensional modelling, ETL) in GCP, with DBT knowledge.
• Familiarity with data governance, analytics environments, and AI/ML concepts in data workflows.

Responsibilities

• Design, build and support data models and distributed ETL pipelines on large datasets.
• Collaborate with multiple business areas to define requirements and recommendations.
• Embed DataOps practices and act as data engineering expert across workstreams.
• Utilize BigQuery, Python, SQL, and DBT; explore AI-driven optimisations.
• Coach team members, share knowledge, and deputise for Engineering Manager when needed.
• Align with platform governance, architecture standards, and data flows onboarding.

Skills

Advanced SQL

Data modeling

Distributed pipelines

Python

GCP / BigQuery

DBT

Education

Bachelor's or Master's in Computer Science or related

Tools

DBT

Snowflake

BigQuery

GCP

Job description

Salary: £13,000 - 53,000 per year

Requirements:

• Proven experience designing and building complex data models and distributed data pipelines, with a strong focus on data analysis, insight generation, and solving real-world business problems at scale.
• Advanced SQL skills for high-performance data transformation, exploration, and optimisation across large, complex datasets.
• Solid foundation in software and data engineering, including hands-on experience with CI/CD workflows, test-driven development, and agile collaboration.
• Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.
• Demonstrated success delivering large-scale data warehousing solutions, including dimensional modelling and ETL pipeline design, ideally within Google Cloud Platform (GCP), with good working knowledge of DBT (Data Build Tool).
• Knowledge of how data is structured, processed, and applied within analytics and reporting environments.
• Ability to support the team in diagnosing and resolving data-related incidents, ensuring platform reliability and timely issue resolution.
• Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.
• A natural collaborator with strong communication skills, capable of influencing technical decisions and contributing innovative ideas in a fast-paced, commercial environment.
• Knowledge of Snowflake, iceberg and lake house architecture.
• Experience working with Customer and Commerce data, third-party vendor report integration, exposure to Behaviour-Driven Development (BDD) principles, and familiarity with AI/ML concepts or practical experience applying AI in data workflows.

Responsibilities:

• Design, build and support data models and distributed ETL pipelines using big data technologies on large-scale data sets.
• Collaborate with stakeholders from multiple business areas to understand business and data challenges, then develop requirements, specifications and recommendations for proposed solutions.
• Drive data engineering excellence by embedding DataOps principles and best practices into our work and becoming a go-to expert in one or more data domains.
• Tackle complex data challenges using tools like Google BigQuery, Python, SQL, and DBT, with opportunities to experiment and optimise through AI.
• Support and coach team members, share knowledge, act as a role model, and deputise for the Engineering Manager when needed.
• Work effectively across multiple GST workstream squads, embedding as needed to support delivery and provide data engineering expertise.
• Act as a bridge between various workstreams and the core SDP engineering organisation, ensuring alignment to platform best practices, data governance, and architectural principles.
• Support workstream squads onboarding data feeds, helping strengthen collaboration and reduce mismatches with upstream systems.

Technologies:

• AI
• Big Data
• BigQuery
• CI/CD
• Cloud
• ETL
• GCP
• Support
• Python
• SQL
• Snowflake
• dbt
• Flow

More:

We are looking for a data engineering professional to help us shape scalable data solutions across multiple workstreams and business areas. You will work closely with stakeholders and agile squads, using modern tools and cloud-based technologies to improve our data platform, support governance and architecture standards, and help deliver reliable, high-quality data capabilities. We offer opportunities to collaborate, innovate, and apply AI where appropriate while working within a fast-paced commercial environment.

last updated 38 week of 2026