751 to 775 of 1,211 ETL Jobs in England

reporting output is complete, accurate, and timely Designing and running the processes for production of the bank’s risk reporting Supporting development of ETL code and processes upstream of the ALM system Building controls and checks on upstream data feeds and on ALM system outputs Investigating and resolving any errors ...

QUALIFICATIONHands-on experience with cloud platforms (AWS, Azure, GCP)Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)Practical experience with NLP and/or Search techniquesPrompt engineering, and LLMs for enterprise-scale applications. You have team lead ...

Hands-on experience with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have ...

Hands-on experience with cloud platforms (AWS, Azure, GCP) Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team ...

cross‐functional environment. Demonstrable experience in mentoring and leading other analysts towards collective goals. Proficiency in SQL and Python, coupled with knowledge of ETL processes and foundational data engineering principles. Benefits We’re offering a salary of £50,000 - £70,000 for the Senior Data Analyst role, plus an additional ...

code generation patterns and the development or use of code generators. Familiarity with data management technologies such as relational or columnar databases, data integration (ETL), or API development Familiarity with data formats such as JSON, XML, Avro, or Google Protocol Buffers Comfort engaging with the algorithms and mathematics behind languages ...

and can audit platform integrations and attribution data. Proficient with JSON or SQL/data modeling best practices. Experience in data activation using reverse ETL tools like Hightouch or Census. Proficient with scripting languages and lambda functions. Has the ability to clearly articulate/present technical topics ...

on. Comfortable with infrastructure as code , ideally Terraform, and hands-on with AWS, for example Lambda, ECS, Glue, S3, RDS. A good grasp of ETL/ELT and orchestration . Experience building or running data integrations and connectors , especially ones that other companies or customers depend on, is a real ...

positive customer experience. QUALIFICATIONS: Must-Haves: Strong, hands-on SQL skills, including comfort with multi-table joins across messy, disparate data sources - deep ETL/pipeline or API engineering experience is not required. Ability to read dense text (e.g., regulatory or legal language) and distill it into clear, structured logic. ...

smarter or more reliable ways of doing this as tools and practice evolve Build and maintain custom client reports and data extracts using ETL tools, asking what would genuinely add value for the client, not just what's been asked for Provide estimates of time and cost for DM deliverables ...

realise greater value from their data and are seeking advice and solutions to meet that need. Role Overview We are seeking an experienced Azure ETL Architect to lead the design, architecture, and delivery of enterprise-scale data integration and transformation solutions on Microsoft Azure. The successful candidate will be responsible … defining data architecture standards, designing scalable ETL/ELT frameworks, and providing technical leadership across large data transformation programmes. The role requires deep expertise in Azure Data Factory (ADF) and Azure Databricks, alongside strong knowledge of cloud data platforms, XML integration technologies, data governance, and enterprise architecture. This ...

Galliford Try. The accountabilities for the role sit across the whole data lifecycle from the point of connecting to data at source, through the ETL process, management of data within our data platform, integrations, master data management, reporting, analytics and AI. It is critical that the role demonstrates best practice … architecture for staging and storing data, implementing appropriate schemas and following best practice to ensure data quality, integrity and security. Transformation: Designing and implementing ETL pipelines to transform and model data into a format and structure suitable for reporting and analytics. Reporting: Developing interactive dashboards to support the business ...

Developers, Architects, Business Analysts and Test teams to ensure data integrity, performance, security and quality throughout the migration. Key Responsibilities Design and develop ETL/data pipelines to support migration to SAS Viya 4. Build and optimise data flows within a cloud-native AWS environment. Work with SAS Developers … across: SAS Data Integration, Pentaho or Talend SAS 9.4 and/or SAS Viya 3.x/4 SQL and Python AWS Docker and Kubernetes ETL, data migration and transformation Data modelling and performance tuning CI/CD and DevOps Large-scale data engineering environments Desirable SAS or AWS Data Engineering ...

designers, and product stakeholders to translate ambitious, pioneering ideas into production‐ready platforms. What You Will Do Design, build, and maintain reliable Azure-based ETL/ELT pipelines that deliver clean, documented data to models, APIs, internal applications, dashboards, and Gensler IP. Own the production ML lifecycle on Azure — deployment … including Azure ML, Databricks, Azure Data Factory or Fabric pipelines, Blob/Data Lake storage, and MLflow or similar tooling. Experience building production‐grade ETL/ELT pipelines and supporting ML workloads from ingestion through deployment. Comfort moving between data engineering, machine learning, cloud architecture, infrastructure, and hands‐on data ...

processes to ensure data integrity, accuracy, and audit-ready change management. Partner with Business Intelligence and Systems Analytics teams to shape Data Warehouse architecture, ETL workflows, and scalable infrastructure that supports reliable downstream analytics. Translate complex commercial contracts into structured, reusable data constructs that integrate cleanly into operational systems and … experience leading and developing high-performing analytical teams. Database & Technical Mastery: Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Tooling & Technology Selection: Proven ability to identify, evaluate, and implement tools and technologies ...

processes to ensure data integrity, accuracy, and audit-ready change management. Partner with Business Intelligence and Systems Analytics teams to shape Data Warehouse architecture, ETL workflows, and scalable infrastructure that supports reliable downstream analytics. Translate complex commercial contracts into structured, reusable data constructs that integrate cleanly into operational systems and … experience leading and developing high-performing analytical teams. Database & Technical Mastery: Deep hands-on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Tooling & Technology Selection: Proven ability to identify, evaluate, and implement tools and technologies ...

skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. Desirable: Experience with Pigment. Experience of data modelling or ETL processes. Knowledge of Power BI or other reporting tools. Qualified or part-qualified accountant (ACA, ACCA or CIMA - not essential) Profile Essential: Experience within … skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. Desirable: Experience with Pigment. Experience of data modelling or ETL processes. Knowledge of Power BI or other reporting tools. Qualified or part-qualified accountant (ACA, ACCA or CIMA - not essential) Job Offer Opportunity to join ...

skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. Desirable: Experience with Pigment. Experience of data modelling or ETL processes. Knowledge of Power BI or other reporting tools. Qualified or part-qualified accountant (ACA, ACCA or CIMA - not essential) Profile Essential: Experience within … skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. Desirable: Experience with Pigment. Experience of data modelling or ETL processes. Knowledge of Power BI or other reporting tools. Qualified or part-qualified accountant (ACA, ACCA or CIMA - not essential) Job Offer Opportunity to join ...

Design and architect end-to-end data solutions , from ingestion and processing through to analytics and visualisation. Design and oversee scalable data pipelines and ETL processes supporting BI, analytics and data science. Develop conceptual, logical and physical data models , including dimensional, relational and Data Vault approaches. Design solutions integrating modern … looking for an experienced Data Architect who can demonstrate: 5+ years' experience in Data Engineering/Data Architecture , with strong experience designing ETL processes, data pipelines and data storage solutions. Previous experience working within a technology, data or management consultancy in a client-facing capacity. Experience leading data engineering projects ...

strong focus on performance, scalability, and data accessibility Engineering Excellence & AutomationEnhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability Be a champion of best development practices on existing and new technologies Collaborate with cross-functional teams … modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience ...

implementing Microsoft Fabric architectures for enterprise clients. Strong consulting values with the ability to interface effectively with senior stakeholders. Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools. Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with … Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).Experience with data security, governance, and compliance frameworks. Expertise in large-scale ETL/ELT pipeline implementation using custom and packaged tools. Experience, Qualifications, and Education Experience: Minimum 7–10 years in data architecture, engineering, or consulting roles ...

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development ...

build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets ...

Drive test automation and AI-enabled quality engineering approaches to improve efficiency, coverage and speed of delivery. Design, review and execute testing for complex ETL pipelines, data warehouses, reporting solutions and analytics platforms. Validate data solutions across Azure Data Factory, Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and … Test or QA teams within data-centric environments, including large distributed teams across onshore and offshore locations Strong hands-on experience across data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server ...

Drive test automation and AI-enabled quality engineering approaches to improve efficiency, coverage and speed of delivery. Design, review and execute testing for complex ETL pipelines, data warehouses, reporting solutions and analytics platforms. Validate data solutions across Azure Data Factory, Azure Synapse, Databricks and SQL Server, ensuring accuracy, integrity and … Test or QA teams within data-centric environments, including large distributed teams across onshore and offshore locations Strong hands-on experience across data testing, ETL validation, reconciliation, data quality engineering and large-scale data migration or transformation programmes. Deep knowledge of Azure Data Factory, Azure Synapse, Databricks and SQL Server ...