Data Analytics Engineer

Jobtailor; Milton Keynes; On-site; GBP 42,000 - 62,000; Full time

Job summary

Jobtailor in Milton Keynes is seeking an experienced Data Analytics Engineer to join a hybrid team. You will process and analyse large datasets using AWS, Snowflake, Hadoop, SAS, and Power BI, delivering insights to stakeholders.

You will extract, cleanse, transform data, build scalable models, and create dashboards. Collaboration across business and tech teams is essential to turn data into actionable recommendations, with emphasis on data quality and timely delivery.

Qualifications

• Minimum of 2 years’ experience in Data Analytics or Data Engineering.
• Experience with large and complex datasets in cloud-based or enterprise data environments.
• Advanced proficiency in SQL.
• Experience with AWS data services, SAS, and Hadoop.
• Knowledge of data discovery, data mining, and exploratory data analysis.
• Experience in data modelling and reporting.
• Knowledge of business intelligence and visualisation tools, particularly Power BI (preferred).
• Experience with Snowflake development and data environments (preferred).
• Experience working with SAS and Hadoop (required), Snowflake and Power BI (preferred).
• Ability to perform exploratory data analysis and convert findings into actionable business insights.
• Advanced data analysis and interpretation using SQL and other analytical tools.

Responsibilities

• Work with AWS, Snowflake, Hadoop, SAS, and Power BI for data processing, analytics, and reporting
• Extract, cleanse, transform, and prepare large volumes of data
• Analyse complex datasets and perform exploratory data analysis to identify trends, patterns, and actionable insights
• Lead day-to-day management, processing, and quality assurance of large-scale data
• Develop, maintain, and optimise data models, reports, dashboards, and visualisations
• Translate technical findings into clear insights and recommendations for stakeholders
• Manage and prioritise a pipeline of data and analytics requests
• Collaborate with business and technical teams to deliver data-driven solutions
• Support the Data Excellence Team with analytics for data identified as critical to the bank

Skills

SQL

Advanced SQL

AWS

Snowflake

SAS

Power BI

Data Modelling

Data Visualization

ETL

Data Cleaning

Analytical Skills

Tools

AWS Athena

AWS Glue

AWS S3

Snowflake

Hadoop

SAS

Power BI

SQL Server

Job description

• Work with AWS, Snowflake, Hadoop, SAS, and Power BI for data processing, analytics, and reporting


• Extract, cleanse, transform, and prepare large volumes of data


• Analyse complex datasets and perform exploratory data analysis to identify trends, patterns, and actionable insights


• Lead day-to-day management, processing, and quality assurance of large-scale data


• Develop, maintain, and optimise data models, reports, dashboards, and visualisations


• Translate technical findings into clear insights and recommendations for stakeholders


• Manage and prioritise a pipeline of data and analytics requests


• Collaborate with business and technical teams to deliver data-driven solutions


• Support the Data Excellence Team with analytics for data identified as critical to the bank

Requirements

• Minimum of 2 years’ experience in Data Analytics or Data Engineering


• Experience with large and complex datasets in cloud-based or enterprise data environments


• Advanced proficiency in SQL


• Experience with AWS data services, SAS, and Hadoop


• Knowledge of data discovery, data mining, and exploratory data analysis


• Experience in data modelling and reporting


• Knowledge of business intelligence and visualisation tools, particularly Power BI (preferred)


• Experience with Snowflake development and data environments (preferred)


• Experience working with SAS and Hadoop (required), Snowflake and Power BI (preferred)


• Ability to perform exploratory data analysis and convert findings into actionable business insights


• Advanced data analysis and interpretation using SQL and other analytical tools


• Understanding of data quality, reporting, and visualisation principles


• Understanding of data extraction, cleansing, transformation, and preparation processes


• Experience developing and maintaining scalable data models and reporting solutions


• Hands-on experience with AWS Athena, Glue, and S3


• Knowledge of cloud-based data architectures and analytical platforms


• Excellent verbal and written communication skills


• Analytical, critical-thinking, problem-solving, stakeholder-management, organisational, and time-management skills


• Ability to prioritise competing demands and manage multiple tasks effectively


• Ability to simplify complex technical concepts for business-focused communication


• Ability to attend the office at least 12 days per month under the hybrid working pattern

Core Competencies

Demonstrates advanced proficiency in SQL and experience with AWS, Snowflake, SAS, and Hadoop for data analytics and engineering. Capable of developing and optimizing data models, reports, and visualisations while translating complex data insights into actionable business recommendations.

Highest-signal resume keywords

• Advanced SQL Proficiency


• AWS Data Services Experience


• Data Modelling and Reporting


• Power BI Expertise


• Exploratory Data Analysis

ATS Optimization Keywords

Hard Skills

• Data Analytics


• Data Engineering


• Data Extraction


• Data Cleansing


• Data Transformation


• Data Quality


• Data Mining


• Data Visualisation


• Data Reporting


• Data Preparation

Soft Skills

• Analytical Skills


• Critical-Thinking


• Problem-Solving


• Stakeholder Management


• Organisational Skills


• Time Management


• Communication Skills

Industry Keywords

• Cloud-Based Data Environments


• Business Intelligence


• Data Excellence


• Large-Scale Data Management


• Data-Driven Solutions

Tools & Technologies

• AWS


• Snowflake


• Hadoop


• SAS


• Power BI


• AWS Athena


• AWS Glue


• AWS S3