101 to 125 of 474 ETL Jobs in the UK

a genuine impact on a growing business. Requirements: Strong experience with Python Strong SQL Experience working with REST Microservices Strong experience building and managing ETL Pipelines Exposure to modern cloud technologies - (Azure, GCP, AWS etc) Strong formal education - ideally in Computer Science If this sounds of interest, then please do more »

BI. Work closely with stakeholders to understand their needs, objectives, and requirements. Complete end-to-end development of Power BI dashboards which includes the ETL process required to gather and clean data from various data sources, ensuring data integrity and accuracy. Coordinate with other professionals to implement changes and new more »

developers to understand project requirements and deliver high-quality solutions. Data processing and analysis: Develop scripts and tools for data extraction, transformation, and loading (ETL) processes, as well as for data analysis and visualization. Optimize performance: Ensure the performance, quality, and responsiveness of applications by identifying and fixing bottlenecks and 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 »

credentials What technical skills are required Ability to implement and use modern data platform concepts, frameworks and tooling, covering all data orchestration aspects from ETL/ELT data flows (including building out source-to-target mappings) to testing and service optimisation.) Good familiarity with our developing key services/applications more »

and implement effective database models that are optimised for reporting and analysis. A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing. Comprehensive understanding of the Azure platform, including knowledge about its architecture, services, and security measures. more »

/SQL ADF, Databricks and Synapse knowledge required Strong client-facing experience as a data engineer/consultant. Experience designing and developing ELT/ETL processes Experience with Azure and/or SQL Server stack (SSIS, SSRS, SSAS) A willingness to develop Azure Platform/services skills Relevant Microsoft Certifications more »

infrastructure. The successful Data Engineer will have: Strong Azure experience, specifically Azure Data Factory. Proficiency in Python and SQL. Expertise in implementing and managing ETL processes. Working Knowledge of Power BI or Tableau. What's in it for you? Significant Bonus Structure Flexible working for work/life balance Clear more »

and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines and ETL 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 »

BI Developers Senior stakeholder management – provide solutions and recommendations to support the decision-making process Work with management to develop the reporting system Develop ETL processes using Kimball methodology Key skills Microsoft Azure, Synapse, Data lake SQL PowerBI Proven experience of leading a team What’s on Offer Up to more »

Git CI/CD, deploying and maintaining software through a software development lifecycle Data processing/engineering PostgreSQL or PostGIS SQL Excel Bonus experience ETL software Power BI Carto or other spatial APIs ---------------------------------------------------------------------------- Competitive salary + performance bonus Pension contributions up to 5% (matched by employee and employer) Life Insurance more »

Strong stakeholder management & communication skills Experience of working with structured and unstructured datasets Able to design a range of architectural solutions Data models and ETL 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 »

on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development Excellent SQL and strong hands-on scripting (bash, perl or python) ability Experience implementing AWS services in a variety of distributed more »

Systems, Mathematics, Finance, Accounting, Economics or a related field or equivalent work experience (3+ years) Experience in: Some knowledge of database orchestration technologies + ETL (Airflow, DBT, Databricks) Working understanding of financial concepts and systems Ability to recognize and diagnose potential errors or data inconsistencies between multiple reports Working knowledge more »

with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries more »

CI\CD automation NoSQL Database Technology such as MongoDB CDC and streaming technologies such as Qlik Replicate & Kafka Basic data architecture principles, solutioning and ETL experience and containerisation Knowledge of database structures such as relational and dimensional modelling and design Designing and developing streaming services Designing and developing APIs Team 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 ETL load performance. Provide production more »

designing end user reports Strong management and leadership skills Experience and understanding of data architecture and infrastructure to include data pipelines, data warehousing and ETL Knowledge in supporting regulatory reporting and experience of data governance. If you are interested in the Business Intelligence Manager opportunity, please apply by Friday 31st more »

/on client site. Preferred skills: SAS Data Engineering Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a more »

the company's strategic goals. Ensure the roadmap supports scalability, flexibility, and efficient data integration. Develop data models that support efficient data warehousing and ETL processes. Collaborate with external consultancies to design and implement a robust data warehouse. Oversee the integration of the data warehouse with existing systems and ensure more »

from design and architecture perspective for projects •Expertise in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts •You should be able to help and guide a team of senior developers to understand and deliver data products in the data warehouse •Hands more »

financial services. Strong leadership skills with a track record of successfully managing and developing high-performing teams. In-depth knowledge of data engineering concepts, ETL processes, and data warehouse architectures. Expertise in working with big data technologies and cloud platforms (preferably AWS or Azure). Familiarity with asset management industry more »

Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) - JSON format Data modelling, data warehousing and ETL frameworks SQL Our client have 2,500 lines of Python code for you to maintain and optimize. You'll need hands-on coding for this more »

Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) - JSON format Data modelling, data warehousing and ETL frameworks SQL Our client have 2,500 lines of Python code for you to maintain and optimize. You'll need hands-on coding for this more »

Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming more »