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