951 to 975 of 1,211 ETL Jobs in England

transactional data. This data is transformed and loaded into our database using an inhouse built application. VDI will be migrating to the Qlik Talend ETL software on the customer files to load data into our databases. Responsibilities : Liaise with teams to allow the smooth transition of data through Qlik Talend … and maintain a data stewardship model that works for the operational team What we need from you Experience working with Qlik Talend or comparable ETL tools, such as Azure Data Factory, AWS Data Pipeline, or SQL Server Integration Services (SSIS). Familiarity with GitHub, Jira, and SQL would be advantageous. ...

datasets to identify trends and inform strategic decisions.- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.- Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial … scale.- 3+ yearsof experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.- Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts. Soft Skills - Exceptional problem-solving ...

7Dxperts is looking for a Senior Data Engineer to join our UK team. Key Responsibilities Build scalable pipelines using Databricks, Spark and PySpark. Develop ETL/ELT and data transformation workflows using Python and SQL. Create and maintain Databricks notebooks, jobs, workflows and clusters. Work with Delta Lake and lakehouse … junior Data Engineers. Requirements/Qualifications 5+ years’ Data Engineering experience. Strong hands‐on Databricks, PySpark, Python and SQL skills. Experience building and optimising ETL/ELT data pipelines. Knowledge of Delta Lake and data warehousing. Experience with at least one of AWS, Azure or GCP. Strong troubleshooting and problem ...

edge data solutions across a range of exciting customer projects. What you'll do Design, build and optimise Snowflake data warehouse solutions Develop scalable ETL pipelines and data models Integrate Snowflake with Azure and AWS Optimise data performance, quality and security Collaborate with customers and project teams to deliver high … need Proven experience designing and implementing Snowflake data warehouse solutions Strong SQL/T-SQL and data modelling skills Experience with Python and ETL development Knowledge of Azure and/or AWS cloud platforms Experience working within Agile environments Excellent communication and stakeholder management skills Terraform, CI/CD, Docker ...

doing ·Leading, mentoring and growing a team of Data Engineers ·Designing and building scalable data pipelines and cloud based data platforms ·Developing robust ETL and ELT solutions using Python and SQL ·Defining engineering standards, data models and best practice ·Driving CI/CD, automation and modern engineering practices ·Collaborating with … quality and delivery What you'll bring ·Strong experience with Python and SQL ·Expertise building modern data platforms on Azure, AWS or GCP ·Strong ETL and ELT engineering experience ·Data modelling and data warehousing expertise ·CI/CD, Git and engineering best practice ·Previous experience leading, mentoring or developing engineers ...

support for the AI Innovation team, enabling faster and more reliable delivery of AI features. What you’ll be doing: Designing, building and maintaining ETL/ELT pipelines. Writing and optimising SQL, and maintaining data models and schemas. Working with the AI Engineer to understand and meet data needs … architecture and standards. Documenting data flows, quality checks and retention practices About you Proven experience designing, building and maintaining production-grade data pipelines (ETL/ELT) within modern cloud-based data platforms. Strong SQL expertise and data modelling capabilities, with hands-on experience using cloud data warehouses and data transformation ...

What You'll Be Doing Design and deliver end-to-end data architecture solutions aligned to business objectives. Build scalable data platforms, pipelines and ETL processes across modern cloud environments. Develop conceptual, logical and physical data models, including dimensional and relational modelling. Integrate modern cloud platforms with legacy systems … and architecture approaches. What We're Looking For Proven experience designing and delivering enterprise data architecture solutions. Strong background building cloud-based data platforms, ETL pipelines and data engineering solutions. Expertise with Azure, AWS or Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional ...

validation. Define acceptance criteria for migrated datasets and analytical workflows. Data Validation: Perform data reconciliation between SAS 9.4 and SAS Viya 4 environments. Validate ETL processes, data pipelines, and reporting outputs for accuracy and completeness. Automation & Tools: Implement automated data validation scripts using SQL, Python, or SAS. Support integration … scale migrations. Writing and executing SQL queries for data comparison and profiling. Knowledge of: SAS technologies (SAS 9.4, SAS Viya 3.x/4). ETL processes and data integration frameworks. Familiarity with: Test automation tools and scripting (Python, SAS). Agile delivery and defect management tools (Jira, Confluence). Desirable ...

Ensure test coverage aligns with business and technical requirements. Data Validation & Reconciliation Perform data reconciliation between SAS 9.4 and SAS Viya 4 environments. Validate ETL processes, data pipelines and reporting outputs. Identify data discrepancies and ensure migrated data is accurate, complete and fit for purpose. Test Automation & Scripting Develop automated … experience in data testing and validation , particularly within large-scale data migration programmes. Excellent SQL skills, including data comparison, reconciliation and profiling. Experience testing ETL processes and data integration . Experience working with SAS 9.4 and/or SAS Viya . Experience with data migration, transformation and validation. Familiarity with ...

involved in delivering high‐quality data solutions, while acting as a trusted reference point for best practice across the team. From shaping and delivering ETL workflows to collaborating directly with stakeholders, your work will help ensure data platforms evolve in line with the organisation’s expanding requirements. You will … working closely with other Data Engineers and Analysts within the business You will be responsible for the design, build, and maintenance of Python-based ETL pipelines Accounting and leading the SQL development Data lake development within Azure Synapse, working to the organisation’s architecture standards Meeting with business stakeholders ...

experience leading,developingand managing Data Engineering teams. A strongtrack recordof designing and delivering enterprise-scale data platforms,solutionsand architectures. A thorough understanding of modern ETL/ELT practices and experience designing scalable,reliableand maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms … explain technical decisions,risksand trade-offs to both technical and non-technical audiences. Nice tohaveexperience: Experience integrating data with operational systems, including reverse ETL into platforms such as Salesforce. Understanding ofthe DataScience/Machine Learning lifecycle andMLOps. Experience using Infrastructure as Code approaches and tools such as Terraform or CloudFormation. ...

support enterprise data transformation initiatives. Key Responsibilities Data Engineering & Delivery Lead the design and implementation of cloud data platforms and data products. Develop scalable ETL/ELT pipelines and analytics solutions. Deliver solutions using Python, SQL, dbt and cloud-native services. Establish engineering standards, best practices and reusable frameworks. Ensure … Strong experience with GCP or equivalent cloud data platforms. Advanced expertise in: Python SQL dbt Cloud-native data engineering services Experience delivering enterprise-scale ETL/ELT solutions and data products. Strong knowledge of data modelling, data quality and monitoring. Experience with automation, CI/CD and DevOps practices. Architecture ...

services within complex technical environments. RequirementsKey Responsibilities: Design, develop and maintain high-quality Python applications, services and data processing solutions. Build and optimise scalable ETL/ELT pipelines for the ingestion, transformation and delivery of structured and unstructured data. Develop robust data processing workflows using Python and modern data engineering … engineering decisions. Skills & Experience: Significant commercial experience developing Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong ...

guarantee that our service delivery is second to none. What you will be doing Design, build, and maintain scalable and efficient data pipelines and ETL processes. Implement data engineering best practices and methodologies, ensuring data integrity, security, and quality. Work with structured and unstructured data sources, transforming them into valuable … SparkSQL) for data manipulation, transformation, and querying. Solid understanding and practical application of Data Vault and Kimball data modelling methodologies. Experience designing and optimising ETL/ELT workflows for large-scale data processing. Strong understanding of data governance, data security, and compliance best practices. Our values We understand that ...

services within complex technical environments. Key Responsibilities: Design, develop and maintain high-quality Python applications, services and data processing solutions. Build and optimise scalable ETL/ELT pipelines for the ingestion, transformation and delivery of structured and unstructured data. Develop robust data processing workflows using Python and modern data engineering … engineering decisions. Skills & Experience: Significant commercial experience developing Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong ...

building models and transformation layers in a modern, cloud-based environment (e.g., Databricks). Proficiency in Python, SQL, and Spark, with practical experience in ETL/ELT processes and data modelling. Experience developing and working with CI/CD pipelines. Experience developing and applying metadata-driven data ingestion frameworks. Solid … building models and transformation layers in a modern, cloud-based environment (e.g., Databricks). Proficiency in Python, SQL, and Spark, with practical experience in ETL/ELT processes and data modelling. Experience developing and working with CI/CD pipelines. Experience developing and applying metadata-driven data ingestion frameworks. Solid ...

As a Senior Data Engineer, you will play a key role in building and maintaining production‐ready data and machine‐learning systems that support critical business decisions. You’ll work acrossthe full lifecycle, from engaging ...

initial 12-month contract. (Offices in London/Birmingham/Bristol) Responsibilities Develop and maintain reliable data pipelines using Python and SQL. Extract, transform, and load data from multiple sources into databases and data warehouses. Perform data validation, cleansing, and quality checks to ensure accurate and reliable data. Troubleshoot data ...

ETL Data Developer Fintech90,000 Plus BensI am looking for a high quality Data Developer who has had some exposure to SQL to assist with core development of a proprietary technology. Our client is well funded Techstar Risk Technology business based on the credit risk space. The environment is that … troubleshoot difficult technical issuesData Engineers must have:2:1 or above Hons. degree or equivalent in mathematics, computer science or comparable scientific discipline. PythonBuild ETL Pipelines (e.g., Airflow)JavascriptBuild and CI/CD toolsWrite SQL codeCreate and implementing Rest APIsGIT and GIT branchingBI Tools such as Looker, Qlik, Power ...

DHL is seeking a Senior HR Data Engineer to lead the design and build of complex HR data transformations and automation. You will shape data flow, integration patterns, and master data design across HR IT ...

A global consultancy is seeking a skilled SQL Developer to work on a significant Digital Transformation programme for a major Telecoms customer. The role involves collaborating with internal and external stakeholders to resolve technical issues ...

Keyloop is seeking an experienced contractor to lead the data migration between Salesforce orgs, using SQL Server as the staging layer. You will own profiling, mapping, transformation logic, loading, reconciliation, and cutover support in a ...

ETL Systems Ltd is seeking a Hardware Automation Engineer to develop and maintain software that automates RF test and measurement systems. You will use OOP languages (VB.NET, C#, Python) and LabVIEW Actor Framework to control equipment such as Network Analysers, Spectrum Analyzers and Power Meters. The role also involves documentation ...

Morgansholding is seeking a skilled data engineer/analyst to design and maintain robust ETL/ELT pipelines, build real-time dashboards for sales, stock, and delivery, and model data for forecasting and AI integration. You will collaborate with cross-functional teams to turn messy questions into clear, evidence-based ...

and Oracle APEX 24.2 technical expert for applications, BAU delivery, enhancements and developments. The role focuses on writing efficient SQL, debugging and performance tuning, ETL processing, and ensuring reliable data solutions across Oracle databases, in a hybrid arrangement with two office days per week. #J-18808-Ljbffr ...