31 to 55 of 201 ETL Jobs in London

datasets, including creating dimensional multivariate models. Utilize non-relational data storage solutions such as MongoDB. Work with SQL Server Integration Services (SSIS) and other ETL tools. Develop solutions with SSIS, SSRS, T-SQL (On-prem/Cloud). Manage NoSQL environments, Data Lakes, and Lake-Houses (e.g., Cassandra, MongoDB, Neptune more »

Proficiency in SQL and other programming languages commonly used in data analysis and BI. Deep understanding of database management systems, data integration techniques, and ETL processes. Excellent analytical and problem-solving skills, with the ability to turn complex data into meaningful insights. Strong communication and interpersonal skills, with the ability more »

years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in SQL and Python required to develop and maintain custom ETL processes. • Skills in exploratory data analysis and familiarity with advanced quantitative analysis. • Experience reporting on web analytics in Adobe, or other web analytics tools. • Comfortable using more »

to (url removed) or alternatively, give me a call on (phone number removed). Keywords: Azure, Microsoft SQL Server, SQL Server, Data Platform, Databricks, ETL, DevOps, Data Warehouse, Architecture, Development, SSIS, T-SQL, SQL, ADF, Data Factory, RDBMS, London 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 »

quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand messages Strong story telling skills, ability to create a more »

contribute to the technical aspects in the upkeep of the data estate. Focusing on hands-on development, enhancement, and maintenance of data models and ETL 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 »

global business logic into the output’s tables. Ensure a high level of data governance across all data sources Assist in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as more »

datasets, draw valid inferences and present them successfully to management using a reporting tool Develop and document data processes including data cleansing and matching ETL design You must have at least 1 to 2 years experience of working with Actimize software. Candidates must have a Bachelor's degree in a … significant experience as a Data Analyst Strong PL/SQL skills Database development (SQL Server, Oracle) Data migration knowledge & experience Development and test of ETL Extract/Transform/Load (ETL) with large data sets. Using Enterprise level tools including MS SSIS, Informatica etc Procedural language such as C# or more »

with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and proof-of-concept systems. Strong analytical more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

is required for this role (Insurance is highly advantageous). Role & Responsibilities * Develop and maintain business intelligence solutions * Design and implement data models and ETL processes * Create and optimize stored procedures and queries * Work closely with stakeholders to understand business requirements * Collaborate with cross-functional teams to deliver scalable data 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 »

environment requires a more robust structure so much of the role will focus around improving: - Data Governance - Data Warehousing - Developing and implementing automation processes - ETL activities - Advanced analytics (involving forecasting and predictive analytics) Clearly, these will not all be achieved by one single person, nor all at once but it more »

libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft more »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

Microsoft Windows and web services (IIS and Tomcat), CI/CD pipelines (Azure DevOps), and generating XML files Understanding of database design techniques, optimisation, ETL best practices, and dimensional modeling BSc/BA in Computer Science, Engineering, or related field This is a change to join a brilliant, established business more »

with immediate effect. Data Engineer Responsibilities Design and implement scalable data architectures for large-scale web-scraping tools. Develop and optimize data pipelines for ETL from online platforms, including textual and unstructured data, and REST APIs. Test, validate, and secure acquired data to ensure accuracy and quality. Work closely with more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL 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 »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »

and manipulation · Analytical capability/Analytical skills: · Issues & risks identification & mitigation · Root cause analysis · Qualitative & quantitative analysis · End to end development of PowerBI Reports (ETL, data modelling, expression writing and report writing) · Experience with data mastery · Good practices in SQL development · Good understanding of relational databases · Advanced Excel (Power Query more »

performance Qualifications Who we're looking for: Relevant professional qualifications in Data Engineering or related specialism Proficient in data engineering practices including ELT/ETL, database management systems, data integration, and data quality Expertise in a variety of database technologies and data warehousing paradigms Familiarity with cloud platforms, CDC and more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »

key stakeholders and other business units to understand business needs and gather requirements. Required Experience Track record of designing and building data infrastructure and ETL pipelines Experience with Azure Platform including Data Factory, Synapse, and Data Lake DB development experience with SQL Software development experience in relevant languages like Python more »