Job Description

Analytics Engineer

PCD270069

London, hybrid 3 times a week
Department: IT
Type: 3-month rolling contract
Outside IR35

Position: Analytics Engineer

The organisation 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.

Take accountability for data extraction, transforming JSON and XML, and utilising strong experience in 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.

Work independently and manage multiple data tasks in a fast-paced environment.

Create and maintain dashboards, visualisations, 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 Databricks.

Strong Azure cloud experience for data storage and processing, with consideration of alternative cloud providers such as AWS and GCP.

Substantial programming ability using languages and 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.

Strong 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 stakeholders.