1 to 25 of 57 Remote ETL Jobs in Central London

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

and lakehouses using Databricks , with additional exposure to Snowflake, Azure Synapse, or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS, ADF, Informatica, IBM DataStage to drive efficient data ingestion and transformation. Data Governance – Implement governance and MDM using tools like Unity More ❯

Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps More ❯

internal best practices What You’ll Bring: Strong experience in data engineering with Microsoft Fabric Solid understanding of DataOps, CI/CD, and automation Hands-on experience with Jira, ETL/ELT, and data modelling Familiarity with Power BI, DAX, or Azure DevOps Excellent communication and stakeholder engagement skills Consulting or client-facing experience is a plus 🌱 Career Progression: Clear More ❯

Data Factory, Lakehouse, Power BI) Strong proficiency in SQL, DAX, and Power Query (M) Experience with Azure Data Services (Synapse, Data Lake, Azure SQL) Solid understanding of data modelling, ETL processes, and BI architecture Familiarity with CI/CD pipelines, DevOps, and version control (Git) Excellent communication and stakeholder management skills Ability to work independently and lead technical delivery Desirable More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

to data engineering teams, driving innovation and best practices in data cloud implementations Design, develop, and implement scalable data solutions using modern cloud data platforms Architect and deliver robust ETL/ELT pipelines and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including … data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships at various levels Strong problem-solving abilities More ❯

transforming raw data into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and More ❯

critical business functions. What you’ll be doing Building and maintaining scalable data pipelines using Azure Data Factory, Azure Data Fabric, and Azure Synapse Analytics. Developing robust ELT/ETL processes to integrate data from multiple business systems. Ensuring data consistency, security, and compliance (including GDPR). Supporting analytics/reporting teams with clean, structured datasets. Collaborating with IT, Finance More ❯

challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers to ensure reliable data delivery – Champion More ❯

Tableau (or similar BI tools). Good working knowledge of Python for data manipulation and analysis. Experience working with cloud platforms (Azure or AWS). Desirable Skills: Knowledge of ETL processes and data warehousing concepts. Familiarity with financial data, risk, or regulatory reporting. Strong communication skills with the ability to explain data insights to non-technical audiences. What We Offer More ❯

years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD More ❯

based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps and performance monitoring. Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources. Own the scalability, reliability, and best practices of Atmospheric AI’s data infrastructure. More ❯

in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility and More ❯

objectives and digital innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience More ❯

emphasizing deep engineering and delivery over high-level governance or non-implementing architectural design in recent years. Core Data Skills: Comprehensive understanding of Data Warehousing methodologies, modern ELT/ETL patterns, Analytics Engineering principles, and advanced SQL for performance optimization. This is a unique opportunity to define the data strategy through execution for a Tier 1 institution and drive cultural More ❯

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

of third-party data licensing models, pricing structures, and contract terms Experience with data product management principles and lifecycle methodologies Technical & Analytical Skills Demonstrated experience with data integration tools (ETL/ELT), data platforms (cloud and on-premise), and emerging data technologies Prior hands-on experience with SQL, Python, Teradata, Hive, and data analysis tools Strong data profiling and data More ❯

this position. What You’ll Bring Strong Python, SQL, and dbt experience in production settings. Knowledge of cloud data warehouses (BigQuery, Redshift, Snowflake) and denormalised data models. Experience developing ETL/ELT pipelines across varied data sources Experience deploying and managing data infrastructure in a cloud environment., e.g. GCP, AWS or Azure. Ability to create dashboards for scientific users; Spotfire More ❯

Ensure compliance with data privacy and security standards. Skills Required: Previous experience in a data role. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of ETL processes and data warehousing concepts. Strong analytical and problem-solving skills. Strong presentation skills, both written and verbal; able to describe complex technical problems to a variety of audiences Ability More ❯

to enhance and support their products as well as design & deliver new innovations for growth including Agentic development. Technology/Skills requirements Agentic development frameworks Automations SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery Cloud based services: GCP (preferred) or AWS About You 4 years+ experience as More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Luxoft is committed to More ❯

start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central More ❯

configuration & system administration Integration experience with ERP systems (ideally SAP) & other Enterprise data sources Information Systems Concepts - Full Systems Development Lifecycle (SDLC) - Solid understanding Designing & implementing data flows, automations & ETL processes Troubleshoot technical issues - optimise model performance & enhance existing processes Power BI - Exposure/experience of Power BI - data visualisation (training can be provided) Alteryx - Familiarity with Alteryx (desirable, not More ❯

modern cloud-based platforms , managing APIs for seamless data exchange , and ensuring data quality, security, and reliability across all systems. Youll play a key role in developing and optimising ETL pipelines , automating data workflows , and supporting integration between core business systems such as Microsoft Dynamics . Strong hands-on experience with Azure, SQL, and Python-based data engineering is essential. … strategy of a dynamic, technology-focused business. What Youll Be Doing Lead and deliver data migration projects from legacy systems to modern, cloud-based environments. Design, develop, and optimise ETL pipelines and automated data workflows. Collaborate across IT and business functions to define data requirements and deliver efficient solutions. Manage and maintain data integrations and APIs for seamless information flow … projects , ideally with ERP/CRM systems such as Microsoft Dynamics . Strong technical skills in Python , including libraries such as Pandas and NumPy . Hands-on experience with ETL design, data warehousing, and relational databases (SQL). Advanced proficiency in SQL and data modelling techniques. Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered). Experience More ❯