376 to 400 of 431 ETL Jobs in the South East

who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts … financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

for implementation. o Act as a bridge between business teams and technical teams to ensure alignment on KPIs, metrics, and data logic. Data Exploration and Identification o Identify and extract the most relevant data from Snowflake to support business questions and performance tracking. o Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations. Data … efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling. • Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. • Data Analysis and Visualization: Skills in visualizing data (Qlik Sense), selecting appropriate chart types More ❯

and marketing to clinical operations and customer experience. This role offers the chance to build data capabilities from the ground up, working across diverse datasets to develop analytical models, extract insights, and create actionable recommendations that enhance business performance and patient outcomes. About You You'll bring strong technical foundations and a strategic mindset, someone who enjoys translating data into … decisions and influencing how a company scales. Skills & Experience: 5+ years in data science or analytics, including ETL experience from GA4/Google Ads and CRM platforms. Advanced SQL & Python skills. Experience with dbt (or equivalent) and orchestration tools (Airflow/Cloud Composer). Proven experience using LLMs (OpenAI, Gemini, Claude, etc.) for analytics and automation. Strong background in data … visualisation (Power BI/Looker/Looker Studio). Experience with regulated data environments and a disciplined approach to quality and documentation. Desirable: BigQuery, Snowflake, or Databricks; reverse-ETL tools; marketing attribution methods. Next Steps If you're a data scientist passionate about using data and making an impact, we would love to hear from you. Apply now or contact More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

contract - please indicate your preference in your application. The migration work will have two parts: a) Migration of portfolio from our UW legacy CRM system to Gentrack. b) Build extract scripts to pull data from Gentrack Junifer database and load the data into UW BigQuery data warehouse to assist with management, regulatory, operational and other reports. This role will be … particularly focussed on (b) above and will include: interpreting Junifer data models, build ETL scripts, and populate energy data models in our UW BigQuery environment. We deliver progress. What you’ll do and how you will make an impact. This role would need: Experience in data migration projects (ideally energy platform migration). Experience in Gentrack Junifer application/data … of teams to meet the timelines and deliverables. What you’ll do Analyse Gentrack Junifer data models to understand their data structures. Write complex SQL queries to extract, transform, and load large datasets using Google Dataform and other tools. Work collaboratively with the wider energy data team to re-model and populate data warehouse data models in UW BigQuery. Work More ❯

and maintain interactive dashboards and BI reports using Tableau. Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations. Write and optimize SQL queries to extract and manipulate data from various sources. Ensure data accuracy, consistency, and performance across all Tableau solutions. Promote data literacy and self-service analytics across the organization. (Optional) Support or develop … ETL workflows to prepare and transform data for reporting. Required Skills & Qualifications: Proven experience as a Tableau Developer or in a similar BI role. Strong proficiency in Tableau Desktop and Tableau Server. Solid understanding of SQL and relational databases. High attention to detail and a strong sense of data quality and integrity. Excellent communication and problem-solving skills. Desirable Skills More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS, Machine Learning … AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top-tier global law firm who have a long-stream of projects in the pipeline … alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ More ❯

research, and technology push the boundaries of systematic investing. You will be building and optimizing the data backbone that powers cutting-edge trading strategies. From designing and maintaining automated ETL pipelines to creating RESTful APIs and contributing to the core data architecture, you'll ensure seamless data flow across the platform. You'll also implement data quality checks to guarantee … smarter, faster decisions. If you're passionate about building robust data solutions that power global markets, this is your chance to make an impact. Responsibilities: Develop and maintain automated ETL pipelines to accelerate dataset onboarding and manage the full data pipeline lifecycle. Design and implement RESTful APIs to support data access and integration. Contribute to the architecture and development of … years' experience as a Data Engineer, ideally from Big Tech or finance. Advanced Python skills, including pandas and Linux proficiency. Experience with and knowledge of SQL, Experience with ETL pipelines and data lifecycle management. Familiarity with AWS cloud infrastructure. Ability to start within 3 months (notice and non-compete). More ❯

Data Engineer , ideally 4+ years in a similar role. Strong proficiency with SQL , Amazon Redshift , and preferably MySQL and QuickSight . Experience with AWS Glue , Python scripting , and building ETL/ELT data processes. Salary & Benefits £85,000 per annum plus excellent benefits. Generous holiday allowance, pension scheme, professional development support, and wellbeing initiatives. Opportunity to work in a collaborative … How to Apply To apply, please send your CV in strict confidence to Kate Morgan at CV Screen Ltd . Alternate Job Titles Business Intelligence Engineer Data & Reporting Developer ETL Developer BI Analyst CV Screen Ltd acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept More ❯

and platform enablement. Key Responsibilities Platform Architecture Design and implement scalable data environments on Snowflake , ensuring performance, security, and reusability. Establish integration patterns between Snowflake and wider ecosystems including ETL/ELT tools , BI platforms, and cloud services (AWS, Azure, GCP). Delivery & Optimisation Lead migration and transformation initiatives using Snowpipe , Streams , Tasks , Snowpark , and related services. Optimise workloads for … and governance frameworks. Required Skills & Experience Proven experience architecting and implementing Snowflake solutions at scale. Strong background in data modelling , data pipelines , and performance tuning . Familiarity with modern ETL/ELT tooling , orchestration platforms, and BI integration. Experience working across AWS, Azure, or GCP data ecosystems. Excellent stakeholder communication and client-facing consulting capability. [Optional: SnowPro Core or Advanced More ❯

and platform enablement. Key Responsibilities Platform Architecture Design and implement scalable data environments on Snowflake , ensuring performance, security, and reusability. Establish integration patterns between Snowflake and wider ecosystems including ETL/ELT tools , BI platforms, and cloud services (AWS, Azure, GCP). Delivery & Optimisation Lead migration and transformation initiatives using Snowpipe , Streams , Tasks , Snowpark , and related services. Optimise workloads for … and governance frameworks. Required Skills & Experience Proven experience architecting and implementing Snowflake solutions at scale. Strong background in data modelling , data pipelines , and performance tuning . Familiarity with modern ETL/ELT tooling , orchestration platforms, and BI integration. Experience working across AWS, Azure, or GCP data ecosystems. Excellent stakeholder communication and client-facing consulting capability. [Optional: SnowPro Core or Advanced More ❯

and platform enablement. Key Responsibilities Platform Architecture Design and implement scalable data environments on Snowflake , ensuring performance, security, and reusability. Establish integration patterns between Snowflake and wider ecosystems including ETL/ELT tools , BI platforms, and cloud services (AWS, Azure, GCP). Delivery & Optimisation Lead migration and transformation initiatives using Snowpipe , Streams , Tasks , Snowpark , and related services. Optimise workloads for … and governance frameworks. Required Skills & Experience Proven experience architecting and implementing Snowflake solutions at scale. Strong background in data modelling , data pipelines , and performance tuning . Familiarity with modern ETL/ELT tooling , orchestration platforms, and BI integration. Experience working across AWS, Azure, or GCP data ecosystems. Excellent stakeholder communication and client-facing consulting capability. [Optional: SnowPro Core or Advanced More ❯