76 to 100 of 416 Permanent ETL Jobs in the UK

management of an Azure cloud-based data & analytics platform. • Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. • Profound understanding of best practices in data governance, privacy, and quality. • Exceptional skills in communication, leadership, and team management. • Capability to handle multiple tasks more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes 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 »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling and ETL 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 and 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 »

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 »

Data Engineering experience? Strong knowledge of MS SQL Server on Azure? A background in the design, build, and maintenance of ADF data pipelines to extract, transform, and load (ETL) data from various sources into Data Warehouses? Exposure to Azure Synapse Analytics? Excellent communication skills? Would you like? Work for an more »

Mathematics, or related field 📊 Experience : Proven Data Engineer experience, preferably in finance 💻 Skills : Python, SQL, NoSQL, big data tools Cloud platforms (AWS, Azure, GCP) ETL processes and database design Join us and make a difference 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 »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

to combine the latest thinking with traditional military functions. *Must have Active SC Clearance* Role requirements Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure 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 »

in SQL with at least 2 years of experience using SQL for data manipulation and analysis Solid understanding of data modelling Data warehousing and ETL concepts more »

in Python to work within a fast paced Data team . You will work very closely with Quant Research, Trading, Quant Development and traditional ETL/ELT Data Engineering. In this latency sensitive trading environment , your work is intrinsic to the firms PnL. Your core focus will be on on 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 »

be a SPOC for all technical discussions across industry groups. • Excellent design experience, with entrepreneurship skills to own and lead solutions for clients • Excellent ETL skills, Data Modeling Skills • Excellent communication skills • Ability to define the monitoring, alerting, deployment strategies for various services. • Experience providing solution for resiliency, fail over more »

source control management, issue tracking tools and branching strategies. Track record of bootstrapping projects in new business domains. Understanding and experience of data engineering, ETL and data modelling. Working experience of relational databases, either PostgreSQL, MySQL/MariaDB. Experience and understanding of deploying software in a cloud environment, either GCP 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 »

knowledge in distributed systems, cloud architecture, and data pipelines. Proficiency in Python programming (knowledge of Scala or Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »