Analytics Engineer

Volaris Group; Wales; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in the UK is seeking an Analytics Engineer to help build their data architecture. This role involves developing solutions utilizing Google Cloud Platform services. The candidate should have 4+ years of experience in data engineering, be proficient in SQL and dbt, and have a strong understanding of cloud data warehouses. The position offers a competitive salary and a flexible remote/hybrid working arrangement.

Benefits

Competitive salary

Annual bonus scheme

Private health insurance

Pension plan

Professional development budget

Qualifications

• 4+ years of experience in a data engineering or analytics role.
• Experience with cloud data warehouses like BigQuery or Snowflake.
• Familiarity with version control in data engineering.

Responsibilities

• Develop data solutions using Google Cloud Platform services.
• Own the administration and operational health of data warehouse pipelines.
• Translate business needs into technical requirements for data products.

Skills

Data engineering best practices

SQL

Data modeling using dbt

Python programming

Cloud services (GCP/AWS)

CI/CD processes

Tools

Google Cloud Platform

BigQuery

Terraform

Dataflow

Cloud Composer

Job description

Company Watch is hiring a full‑time, remote/hybrid Analytics Engineer to help build out their data architecture. The role involves owning and operating data warehouse pipelines using Google Cloud Platform services (like BigQuery and Airflow). You will work closely with data scientists and business stakeholders to understand their needs and build reliable, high-quality data products to support their analytics goals. - Develop, test, and maintain data solutions using a core stack of GCP services, SQL, dbt, and Python. - Collaborate with data scientists, analysts, and stakeholders to translate business needs into technical requirements and data products. - Apply data modelling, data governance, and data quality principles to ensure robust and reliable data.

Responsibilities

• Develop solutions using core GCP services, including BigQuery, Cloud Composer (Apache Airflow), Dataflow, Cloud Storage, and Cloud Functions.
• Own the administration and operational health of the data warehouse pipelines, including scheduling, monitoring, logging, and performance tuning of overnight processes to ensure service continuity.
• Work closely with Data Scientists, Analysts, and Business Stakeholders to understand data needs and translate them into technical requirements and reliable data products.
• Continuously evaluate and optimise data pipeline architecture and execution for cost efficiency, speed, and reliability within the GCP ecosystem.

Essential Requirements

• Proven experience in a data engineering/analytics role (4+ years)
• Experience with SQL and general data modelling using dbt
• Cloud data warehouse experience e.g. BigQuery (preferred), Snowflake or Redshift
• Experience with cloud providers e.g. AWS or GCP (preferred) and management via IaC (i.e. Terraform)
• Experience of data engineering best practices. e.g. CI/CD and using version control

Preferred Skills

• Proficient Python programming skills
• Working in an Agile Development environment
• Experience of data quality assessment and validation
• Deployment / use of specific GCP Components including: Cloud Run, Dataflow, DataProc, Cloud Composer, Compute Engine

Nice to Have

• Knowledge of traditional databases e.g. MS SQL Server or Postgresql
• Experience in the Business or Credit Information industry
• Familiarity with the Linux command line and server administration
• Previous exposure to working with modern AI tools e.g. Claude/Gemini/ChatGPT

Personal Attributes

• Excellent English communication (written and verbal)
• Works well independently and as part of a team
• Self‑motivated
• Detail‑oriented with strong organisational and analytical skills
• Strong problem solver and keen learner

Benefits

Competitive package: We offer a competitive salary, a discretionary annual bonus scheme, as well as a comprehensive benefits package which includes Life Assurance, Private Health Insurance, Group Income Protection, Critical Illness cover, Pension and enhanced Family Friendly policies
Autonomy and Impact: You will have the freedom to make key technical decisions and see the direct impact of your work on our platform's security and reliability.
Stability and Growth: Enjoy the agility of a specialised company backed by the financial strength and career development opportunities of Volaris and Constellation Software.
Work‑Life Balance: A fully remote/hybrid position with flexible working hours, along with quarterly wellness days to switch off and recharge.
Professional Development: A dedicated budget for training, certifications, and attending conferences to keep your skills at the cutting edge.
The Right Tools: A home office stipend to ensure you have a comfortable and productive work environment.