76 to 83 of 83 Senior Data Engineer Jobs in the City of London

Shape the Future of Data Governance at Scale At Luxoft , we partner with the world’s leading financial institutions to deliver next-generation data and technology solutions. We’re looking for an exceptional Senior Data Catalog Solution Engineer/Architect to design, implement, and evolve an enterprise-wide data cataloging platform that empowers data-driven decision-making across the organization. In this pivotal role, you’ll bridge advanced technical architecture with business enablement — ensuring that enterprise data is discoverable, trustworthy, and governed at scale . You’ll collaborate with a cross-functional team of developers, data scientists, analysts, and architects to bring data intelligence to life. 🔍 Your Mission Architect & Implement … Data Catalog Solutions — Lead the deployment and configuration of an enterprise-grade catalog (including data.world ), aligned with robust data governance frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce . More ❯

Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile … bringing innovative solutions to the table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively … with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote More ❯

Paragon Alpha are working with a data team at a multi-manager hedge fund, who have recently added AUM, and are growing a team of technologists to underpin their trading divisions. They're looking for a talented Senior/Lead Data Engineer to join this team, and to work on data and trading infrastructure and … a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for the firm. If this sounds of interest, please do More ❯

Paragon Alpha are working with a data team at a multi-manager hedge fund, who have recently added AUM, and are growing a team of technologists to underpin their trading divisions. They're looking for a talented Senior/Lead Data Engineer to join this team, and to work on data and trading infrastructure and … a scalable data lake (AWS), which will ingest data sets from market data vendors. Stack: Python, Pandas/Polars, AWS, ETL This is a great opportunity for someone inside or outside of finance, to join a high performing team and build data systems that yield profit for the firm. If this sounds of interest, please do More ❯

Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its More ❯

Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its More ❯

Overview We are seeking an experienced Data Engineer (Python Enterprise Developer) to design, develop, and optimize data-driven solutions within enterprise environments. The ideal candidate will have deep expertise in Python programming, strong SQL skills, and hands-on experience with modern data platforms and cloud technologies. Key Responsibilities: Develop, test, and deploy scalable data engineering … solutions using Python . Build and maintain data pipelines leveraging libraries such as NumPy, pandas, BeautifulSoup, Selenium, pdfplumber, and Requests . Write and optimize complex SQL queries and manage databases including PostgreSQL . Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins, Git ). Collaborate on cloud-based data initiatives using AWS (S3) and Azure … zones. Mentor team members and foster a positive, results-driven work environment. Qualifications: 8+ years of professional experience in Python development and scripting. Proven ability to design and implement data solutions within enterprise environments. Strong problem-solving, communication, and leadership skills. Familiarity with modern data engineering best practices and tools. If you believe this job description aligns with More ❯

Overview We are seeking an experienced Data Engineer (Python Enterprise Developer) to design, develop, and optimize data-driven solutions within enterprise environments. The ideal candidate will have deep expertise in Python programming, strong SQL skills, and hands-on experience with modern data platforms and cloud technologies. Key Responsibilities: Develop, test, and deploy scalable data engineering … solutions using Python . Build and maintain data pipelines leveraging libraries such as NumPy, pandas, BeautifulSoup, Selenium, pdfplumber, and Requests . Write and optimize complex SQL queries and manage databases including PostgreSQL . Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins, Git ). Collaborate on cloud-based data initiatives using AWS (S3) and Azure … zones. Mentor team members and foster a positive, results-driven work environment. Qualifications: 8+ years of professional experience in Python development and scripting. Proven ability to design and implement data solutions within enterprise environments. Strong problem-solving, communication, and leadership skills. Familiarity with modern data engineering best practices and tools. If you believe this job description aligns with More ❯