Analytics Engineer

Position: Analytics Engineer

Location: London (hybrid 3 times a week)
Department: IT
Type: 3 months rolling contract
Outside IR35

The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making.

Key Responsibilities

Design and build data products, with proficiency throughout the data lifecycle.
Develop robust data models through close collaboration with business users and the engineering team.
Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks.
Accountable for data extraction, transforming JSON & XML, utlising high experience within metadata management.
Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning.
Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers.
To work independently and to manage multiple data tasks in a fast-paced environment
Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making
Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes.
Requirements

At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role
Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies.
Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks.
Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP.
Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting
Solid understanding of relevant data governance, data quality, and data security best practices
Strong problem-solving skills, and the ability to think critically and analytically
High experience in documentation and data dictionaries
Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholdersPlease can you send me a copy of your CV if you're interested