Top Analytics Engineer Jobs in London

As a Data Engineer, responsible for collecting, cleaning, transforming, and consolidating data for analysis and reporting. Working with a global team of data engineers, analysts, and reporting team to ensure smooth operation of data warehouse. Hands-on experience with Microsoft Azure data engineering pipelines and tools.

Seeking an Associate Data Platform Engineer to join Depop's Data Infrastructure team and help build the data platform for analytics, machine learning, marketing, and more. Responsibilities include owning initiatives for the Data Platform, successful end-to-end delivery of projects, proactively improving data processes, embracing agile methodologies, promoting company-wide best practices, and ensuring operational excellence.

Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.

Design, build, and maintain data pipelines and warehouses to support reporting and insights, collaborate with BI teams, develop data models, ensure data infrastructure quality and security, adhere to best practices, and collaborate with other engineering teams to build data-driven products.

Looking for a Data Engineer to join Our Future Health's team to work on NHS data solutions at industrial scale. Responsibilities include building data pipelines, processing and quality control of participant data, and collaborating with researchers and stakeholders. Technical requirements include proficiency in Python, experience with data lakes, cloud environments, and data transformation/storage formats.

Design and develop data solutions for Markel International, part of the Data Services team. Responsible for assessing stakeholder needs, contributing to solution designs, and developing solutions to achieve business outcomes in an agile environment. Key focus on Azure Data offerings such as Databricks, Delta Tables, Azure Data Factory, and Azure Data Lake.

Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.

Join a fast-growing cleantech venture as a Data Engineer, responsible for building data platforms and APIs within AWS and Snowflake. Collaborate with stakeholders to design, develop, and maintain scalable data pipelines and architectures.

Looking for a Senior Principal Architect with expertise in data architecture to develop a strategy for resiliency risk models and data lineage. Responsibilities include leading data strategy design, collaborating with stakeholders, overseeing data integration, and sharing best practices. Must have experience in various data domains and proficiency in SQL and other technologies.

The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.

Seeking a Senior Tech Lead for BI Applications to design, develop, and manage BI solutions, lead a team of engineers, and ensure scalability and reliability of data systems. Key responsibilities include managing BI tools, automating BI processes, ensuring data security, and standardizing management practices.

As a Lead Data Engineer (Consultant) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, ensure code quality, and meet user needs. Responsibilities include development, design, testing, coaching, and technical advisement.

The Sr. Data Engineer at Pismo will be responsible for operating and monitoring file and event systems, ensuring SLAs are met, designing high complexity features, reducing technical debts, and evolving data platform architecture. They will collaborate with internal and external teams to optimize the data platform's efficiency and performance. Minimum qualifications include solid experience with Big Data, AWS, Python, Airflow, CDC, and at least 4 years as a Data Engineer. Pismo offers competitive benefits including annual incentive bonus, core benefits, smart benefits, and 28 days of annual leave.

Senior Data Engineer role at N-iX, a software development service company specializing in developing successful software products. Responsibilities include creating production quality models, writing production level microservices, data wrangling, and implementing various technologies such as Python, AWS, and more. Strong communication, organizational skills, and mentoring experience are required. Offers competitive salary, personalized career growth, flexible working format, and professional development opportunities.

Join an experienced team of data engineers at Dojo to assist internal clients with data integrations, design and develop software solutions, collaborate with stakeholders, manage data pipelines and infrastructure, deploy and monitor Kubernetes, and work with big data technologies and cloud platforms.

Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.

Quantexa is seeking a Data Engineer to join their Data Engineering & Demos team. The team focuses on developing data engineering tools and best practices for Quantexa projects. Responsibilities include developing standard code for cleansing and standardizing data, finding efficiency improvements through big data testing, and owning best practices in entity resolution and network building. The role involves working with internal stakeholders to design and develop solutions.