practices. • Extensive experience with SQL databases, including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills andmore »
SE1, Chaucer, Greater London, United Kingdom Hybrid / WFH Options
Royal College Of Obstetricians And Gynaecologists
through to developing user reports. They will work on the technical aspects of system integration and be involved in the development and maintenance of ETL (extract, transform, load) processes across all systems. The post holder will work closely with colleagues across the organisation to gather requirements and ensure data integrity … ensure that our technical solutions are fully integrated into business processes. Responsibilities: Advanced T-SQL and SSIS development for the creation and maintenance of ETLand reporting solutions. To lead the development and maintenance of custom applications to provide bespoke functionality, for example using .NET Framework, C# or Python. Development … expertise to internal stakeholders for College supported databases. Requirements: Experience of Advanced T-SQL querying and development: Stored Procedures, Views, functions etc. Experience of ETL development using SSIS or similar Knowledge of database and data warehouse design principles Experience of developing and maintaining custom applications to provide bespoke functionality, for more »
of team, including ways of working, engineering principles, data governance and best practice. Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine andtransform data from on-prem and cloud-based sources. Ensure that all data more »
capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include: Design, build, and maintain efficient, reliable data pipelines using ETLand ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation Use Snowflake for data storage, processing, and analytics. Optimise more »
London, Liverpool, Merseyside, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
working options and a competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines andETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data more »
deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Occasionally, being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming more »
experience within the industry Lead Engineering engagement with Actuarial SMEs and Underwriters Mentor Analytics Engineering team members to develop and maintain end-to-end ETL processes Maintain a high level of coding and technical standards across the team Demonstrate a high level of technical capability in Python, SQL, and JSON more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, andmore »
Greater London, England, United Kingdom Hybrid / WFH Options
itecopeople
deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »
Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but more »
contribute to the technical aspects in the upkeep of the data estate. Focusing on hands-on development, enhancement, and maintenance of data models andETL processes within the data estate You will emphasise the importance of data quality and governance in your project work, contributing to the organisational data model more »
Central London, London, United Kingdom Hybrid / WFH Options
Recruitment Revolution
analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling andETL processes + Experience with Supermetrics, GitHub, DBT, Google Big Query and Shopify + Strong communication and presentation skills to effectively convey insights to both technical more »
and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team andmore »
strategy constraints. Essential Skills: The ideal candidates will have a proven Senior Data & Analytics Development background, with the following skills/experience: Knowledge of ETL/ELT, data warehousing/business intelligence methodologies and best practice including dealing with big data, cloud technology and unstructured data and the relative required more »
and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines andETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting more »
technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »
Strong stakeholder management & communication skills Experience of working with structured and unstructured datasets Able to design a range of architectural solutions Data models andETL Data lake and data warehouse end to end architecture Experience within media, publishing, research, or a similar consumer focused industry is highly desirable, but not more »
London, England, United Kingdom Hybrid / WFH Options
AWTG Ltd
development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering andETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »
analyst, some of the data tasks you will work on are: Participating in data discovery workshops to develop proprietary supply chain-specific datasets Writing ETL code in Python Updating spreadsheets in Excel Connecting different services like ChatGPT and Salesforce on Google Cloud Performing data analyses in SQL (BigQuery) Building dashboards more »
Provide estimates, work independently and meet deadlines Manage the releases and the related builds in each environment Perform development, testing, and support of data ETL/ELT programs (pipelines), using such tools as AWS Glue, Azure Data Factory, Informatica or similar ETL/ELT platforms, as well as knowledge of … learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads, data transformation, and optimization of ETLload performance. Provide production more »
City of London, London, United Kingdom Hybrid / WFH Options
Develop
their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure more »
London, England, United Kingdom Hybrid / WFH Options
iO Associates - UK/EU
governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »
London, Tottenham Court Road, United Kingdom Hybrid / WFH Options
Jumar Solutions
Data Experience: Competence in handling financial data, coupled with a solid understanding of accounting principles. Technical Skills: In-depth knowledge of dimensional modeling andETL processes. Agile Framework: Experience working within an Agile Scrum environment. Advanced Excel Proficiency: High-level skills in Excel for managing data exports. Desirable Qualifications: MS more »
environments Excellent knowledge of data technology, data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design andmore »