Senior Analytics Engineer

Concept LTD
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 99K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Query Performance
Airflow
Amazon Web Services (AWS)
Business Analytics Applications
Data analysis
Azure
Google BigQuery
Cloud Computing
Computer Programming
Continuous Integration
Information Engineering
Data Infrastructure
ETL
Data Visualization
Data Warehousing
Database Storage Structures
Monitoring of Systems
Python
PostgreSQL
Machine Learning
MySQL
NumPy
Query Optimization
Power BI
SQL Databases
Tableau
Data Processing
Google Cloud Platform
Snowflake
Data Build Tool (dbt)
Pandas
PySpark
Data Management
Looker Analytics
Software Version Control
Data Pipelines
Redshift

Job description

Job Summary We are seeking an experienced Senior Analytics Engineer to lead the design and implementation of our data infrastructure and analytics capabilities. The ideal candidate will combine deep technical expertise in data engineering with strong business acumen, enabling data-driven decision-making across the organisation. You will be responsible for building scalable data pipelines, optimising data models, and empowering teams with reliable, accessible analytics solutions., * Design, build, and maintain robust data pipelines and ETL processes using modern data stack technologies.

  • Develop and optimise data models in SQL and Python to support analytics, reporting, and machine learning initiatives.
  • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
  • Implement data quality frameworks and monitoring systems to ensure accuracy and reliability of analytics outputs.
  • Optimise query performance and database structures across MySQL, PostgreSQL, and cloud data warehouses.
  • Build and maintain data transformation workflows using tools such as dbt, Airflow, or similar orchestration platforms.
  • Create and maintain comprehensive documentation of data architectures, pipelines, and analytics processes.
  • Mentor junior engineers and analysts, promoting best practices in data engineering and analytics.
  • Evaluate and implement emerging analytics technologies to continuously improve the data platform.

Requirements

Do you have experience in SQL?, * Advanced proficiency in SQL with experience in complex query optimisation and data modelling.

  • Strong programming skills in Python, with experience in data processing libraries (Pandas, NumPy, PySpark).
  • Hands-on experience with cloud data platforms such as Azure, AWS, or Google Cloud Platform.
  • Experience with modern data warehouse solutions (Snowflake, BigQuery, Redshift, or similar).
  • Familiarity with data orchestration tools such as Airflow, Dagster, or Prefect.
  • Knowledge of data visualisation tools (Power BI, Tableau, Looker) and their integration with data pipelines.
  • Understanding of version control systems, particularly Git/GitHub, and CI/CD practices for data workflows.
  • Experience with dimensional modelling, star schemas, and analytics engineering best practices.
  • Strong analytical thinking with ability to translate business requirements into technical solutions.
  • Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
  • Experience with dbt (data build tool) is highly desirable.

Join us in building the data foundation that powers intelligent decision-making and drives business growth.

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