286 Senior Data Engineer jobs in London
Data Engineer
London, London
Vallum Associates
Posted today
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Technical Expertise: Solid experience in Python programming, particularly using data manipulation and processing libraries such as Pandas, NumPy, and Apache Spark. Hands-on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or equivalent platforms. Skilled in using containerization technologies including Docker and Kubernetes. Experience with workflow orchestration tools like Apache Airflow or Dagster. Familiar with streaming data pipelines and real-time analytics solutions.
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Data Engineer
London, London
i3
Posted today
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Job Description
DATA ENGINEER | London | Insurance Domain Are you a Data Engineer with a passion for data, dashboards, and driving real business impact? Join my client at their London office as they build a next-gen data warehouse, powerful integrations, and insightful Power BI solutions to support their Underwriting, Claims, and Operations teams in the London Market – with a global reach. We're looking for someone who’s not just technically strong, but also a proactive communicator, independent problem-solver, and team player with a deep understanding of insurance data (especially within the syndicate and company markets ). What You’ll Be Doing Collaborate with the Lead Data Engineer and Business Analysts to deliver data solutions that meet evolving business needs. Design and develop a data warehouse using star schema modelling. Build seamless internal and external integrations . Develop impactful Power BI dashboards and reports . Provide ongoing data support and drive reconciliation processes. Conduct thorough unit testing and produce clear documentation. What We’re Looking For Technical Skills: Strong SQL Server and T-SQL experience Deep understanding of data warehouse modelling Experience with Azure Fabric , Pipelines , DevOps , and Git Proven expertise in Power BI Solid grasp of application data modelling and data integration Industry Knowledge: Strong background in the insurance domain – particularly London Market business Comfortable working with syndicate and company market data Soft Skills: Excellent communication and interpersonal skills Strong documentation and organisational capabilities Ability to work independently and deliver high-quality outcomes Analytical mindset with attention to detail
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1
Data Engineer
London, London
Oscar
Posted today
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Data Engineer – Onsite (Central London) ⭐️ £50,000 – £55,000 benefits ⭐️ 5 days onsite – Central London ⭐️ SQL, Python, API development ⭐️ Financial background preferred Join a leading investment management firm with a strong reputation for innovation in the financial sector. This is a fantastic opportunity to play a key role in building and maintaining robust data infrastructure supporting high-value investment strategies. We’re looking for a hands-on Data Engineer with solid SQL skills and experience in building and maintaining back-end APIs. SQL - strong experience essential. Python experience required. Proven experience in API development and maintenance. Previous experience within a financial services or investment management environment preferred. Strong analytical mindset and attention to detail. Excellent problem-solving and communication skills.
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2
Data Engineer
London, London
Oscar
Posted today
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Job Description
Data Engineer – Onsite (Central London) ⭐️ £50,000 – £55,000 benefits ⭐️ 5 days onsite – Central London ⭐️ SQL, Python, API development ⭐️ Financial background preferred Join a leading investment management firm with a strong reputation for innovation in the financial sector. This is a fantastic opportunity to play a key role in building and maintaining robust data infrastructure supporting high-value investment strategies. We’re looking for a hands-on Data Engineer with solid SQL skills and experience in building and maintaining back-end APIs. SQL - strong experience essential. Python experience required. Proven experience in API development and maintenance. Previous experience within a financial services or investment management environment preferred. Strong analytical mindset and attention to detail. Excellent problem-solving and communication skills.
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3
Data Engineer
London, London
i3
Posted today
Job Viewed
Job Description
DATA ENGINEER | London | Insurance Domain Are you a Data Engineer with a passion for data, dashboards, and driving real business impact? Join my client at their London office as they build a next-gen data warehouse, powerful integrations, and insightful Power BI solutions to support their Underwriting, Claims, and Operations teams in the London Market – with a global reach. We're looking for someone who’s not just technically strong, but also a proactive communicator, independent problem-solver, and team player with a deep understanding of insurance data (especially within the syndicate and company markets ). What You’ll Be Doing Collaborate with the Lead Data Engineer and Business Analysts to deliver data solutions that meet evolving business needs. Design and develop a data warehouse using star schema modelling. Build seamless internal and external integrations . Develop impactful Power BI dashboards and reports . Provide ongoing data support and drive reconciliation processes. Conduct thorough unit testing and produce clear documentation. What We’re Looking For Technical Skills: Strong SQL Server and T-SQL experience Deep understanding of data warehouse modelling Experience with Azure Fabric , Pipelines , DevOps , and Git Proven expertise in Power BI Solid grasp of application data modelling and data integration Industry Knowledge: Strong background in the insurance domain – particularly London Market business Comfortable working with syndicate and company market data Soft Skills: Excellent communication and interpersonal skills Strong documentation and organisational capabilities Ability to work independently and deliver high-quality outcomes Analytical mindset with attention to detail
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4
Data Engineer
London, London
Hexegic
Posted today
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As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£0,000 000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance
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5
Data Engineer
London, London
Hexegic
Posted today
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Job Description
As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£0,000 000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements Please note that successful candidates must be eligible for UK security clearance
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6
Data Engineer
London, London
TechYard
Posted today
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We are partnering with a rapidly scaling Palantir implementation partner, expanding across all seniority levels, having secured a strong pipeline of projects across various industries. This is an exciting opportunity to specialise in one of the fastest-growing technology markets and collaborate with some of the most experienced leaders in the field. Responsibilities: Develop and maintain data pipelines and ETL processes Analyse client challenges and design tailored solutions Collaborate on implementing AI and machine learning models Serve as a point of contact, providing consultative guidance and support Requirements: Proven programming skills in Python and JavaScript Familiarity with Palantir is a plus Excellent communication and consultative abilities Must hold SC or DV Clearance Please apply if this is of interest.
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7
Data Engineer
London, London
i3
Posted today
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Job Description
We're Hiring: Data Engineer – Insurance Data & Power BI Location: London, UK (Hybrid) Industry: Insurance / London Market Type: Full-time Are you a data expert with strong SQL and Power BI skills, and experience in the London Market insurance space? My client is looking for a Data Engineer to join their London-based team to help build and support the growing data infrastructure. You’ll play a key role in the development of the data warehouse, data marts, system integrations , and Power BI dashboards , supporting business-critical insights across Underwriting, Claims, and Operations . This role offers exposure to international projects while remaining rooted in the dynamic London Market. What You'll Be Doing Collaborate with the Lead Data Engineer and Business Analysts to define and deliver data solutions Design and support a star schema-based data warehouse Perform application data modelling and develop internal/external data integrations Build insightful and actionable Power BI dashboards and reports Provide proactive data support services to business users Support the integration of business systems and data Develop robust reconciliation and unit testing processes Document solutions, processes, and technical decisions clearly What We’re Looking For Technical Skills Strong SQL Server and T-SQL expertise Deep understanding of data warehouse (DWH) modelling and star schema design Hands-on experience with Azure Data Factory, Pipelines, and Fabric Proficient with Power BI dashboard/report development Familiar with DevOps , Git , and modern CI/CD practices Solid understanding of insurance data – including both syndicate and company markets Professional Skills Strong communication and interpersonal abilities Excellent documentation and organisation skills Self-motivated with the ability to independently manage tasks and deadlines Detail-oriented with a commitment to high-quality deliverables Proven problem-solving and solution-design capabilities Comfortable analysing data to inform requirements and decision-making Domain Knowledge London Market / insurance experience (required) Understanding of application databases , testing , and reconciliation procedures Experience working with international teams/projects is a plus
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8
Data Engineer
London, London
HCLTech
Posted today
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HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10 Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good Understanding of Airflow,Data Fusion and Data Flow Strong Background and experience in Data Ingestions,Transformation,Modeling and Performance tuning. One migration Experience from Cornerstone to GCP will be added advantage Suppport the design and development of BigData echosystem Experience in building complex SQL Queries Strong Communication Skills
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