Analytics Engineer

Position: Analytics Engineer

Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside 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 stakeholders

Please can you send me a copy of your CV if you're interested