251 to 275 of 430 ETL Jobs in the South East

firm, playing a key role in SAP S/4HANA migration projects. You will work closely with functional and technical teams to ensure the successful extraction, transformation, and loading (ETL) of data from legacy systems into SAP environments. This role will focus on delivering high-quality data migration solutions using SAP Migration Cockpit, SAP Data Services (BODS), and other SAP More ❯

an experienced engineer, a confident communicator, business facing and with several years experience delivering cloud engineering solutions (they’re open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would also be a huge plus. Please note: if you hit the requirements More ❯

an experienced engineer, a confident communicator, business facing and with several years experience delivering cloud engineering solutions (they’re open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would also be a huge plus. Please note: if you hit the requirements More ❯

skilled Data Engineer to join our team on a predominantly remote basis, with occasional travel to London. This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight AWS S3 Java SQL Relational databases GitHub/lab experience Nice to have: Data More ❯

and software life cycle. Experience with enterprise integration, governance, and security best practices. Technical expertise in web, service-based, and cloud architectures. Knowledge of databases (MS SQL, Oracle) and ETL tools (eg, Informatica). Proven track record of delivering solutions with measurable business outcomes. Ability to coach, mentor, and influence technical teams. For a full consultation on this exciting new More ❯

What You'll Bring: 8+ years in Data Analytics/Science. Expertise in SQL and dashboarding tools ( Tableau/Qlik ). Familiarity with big data tools ( Snowflake, Databricks ) and ETL . Experience with A/B testing and Python/R is preferred. Contract Details: Location: London, UK Duration: 10 Months Rate: Up to £277 (Umbrella) Ready to turn global More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

develop and maintain robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're More ❯

You'll bring: Experience in analytics, AI/data science, or data product environments - ideally within ad tech, media, or digital. Strong grasp of data warehousing concepts - data flows, ETL, dimensional modelling, and data quality. Solid SQL skills and the ability to interrogate complex data from diverse sources. Hands-on understanding of cloud-based data architectures A proven ability to More ❯

Preferred Education Bachelor's Degree Required Technical And Professional Expertise Extensive experience in data engineering and data modeling, with proficiency in tools such as ERWin, MDM, and/or ETL frameworks. Mastery of data mapping, transformation, and integration principles. Strong knowledge of data quality, security, and privacy standards. Proven track record of delivering high-quality data models and engineering solutions More ❯

across cloud platforms. Your work will underpin data quality and ensure that insights are built on trusted, consistent data. Key Responsibilities: Design and implement automated tests for data pipelines, ETL processes and APIs across AWS and Azure environments. Develop and maintain test frameworks that validate data quality, completeness and integrity. Collaborate with engineering teams to identify data defects, root causes … and define quality metrics for ongoing improvement. Contribute to process refinement, ensuring scalable and efficient data testing practices. Person Specification: Strong understanding of data engineering concepts, data models and ETL workflows. Experience creating automated data validation scripts or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing More ❯

to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal … trading-driven organisations, willing to grow into a Head of Data. Responsibilities Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools … Key Objectives for the first six months Define the core data architecture and choice of toolset. Define data models. Establish a secure and automated data development cycle. Build foundational ETL pipelines. Project Ownership Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. Support future integration of a dedicated Data & Reporting Analyst role More ❯

to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal … trading-driven organisations, willing to grow into a Head of Data. Responsibilities Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools … Key Objectives for the first six months Define the core data architecture and choice of toolset. Define data models. Establish a secure and automated data development cycle. Build foundational ETL pipelines. Project Ownership Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. Support future integration of a dedicated Data & Reporting Analyst role More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent written and verbal communication skills, able to interpret regulatory guidance and influence business stakeholders. Experience of leading forums, stewardship More ❯

in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily Azure) and associated data services. Strong understanding of data modelling, ETL workflows, and system integration. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy. More ❯

collaborative, forward-thinking environment that values creativity, accountability, and growth-where your contributions will directly shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer More ❯