76 to 100 of 362 Permanent ETL Jobs in England

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 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 »

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 »

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 »

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 »

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 »

and maintain strategic partnerships with external stakeholders. An element of hands-on technical knowledge will be useful as you oversee the end-to-end ETL process using Synapse and the visualisation through Power BI. Requirements: Proven track record as a Leader/Manager within the data and AI space, managing more »

processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »

processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »

Science or related fields. Proven experience with Insurance Broking Systems data migration (ideally Acturis). Proficiency in SQL and data manipulation languages. Experience with ETL tools. Strong analytical and critical thinking skills, with a focus on practical solutions. Excellent communication and people skills for conveying data concepts to diverse audiences. more »

+ benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise … Pandas and NumPy. SQL: Advanced skills in complex querying and data manipulation. Data Modelling: Proven ability in designing efficient models for scalability and performance. ETL Processes: Deep expertise in developing and optimising ETL pipelines. Version Control: Experience with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with more »

relevance over time. Dashboard building in Power BI & Excel Requirements: Proven experience as a Data Analyst or a related field Power BI - Dashboards & Reporting ETL SQL - Report building (SSRS) Desirable: Power Query, Power Pivot Understanding of Odessa Data Structures If the above role is of interest and you’ve got more »

years’ experience with DAX Demonstrable experience of Power BI, Power Platform and licensing Translate complicated strategies Good communication skills, both verbal and written ETL experience desired but not essential Data Mining experience desired but not essential Main Responsibilities: Analyst data sets Research, develop, and implements data-gathering methods Evaluate implemented more »

and optimize automation processes, effective monitoring, and infrastructure-as-code using Terraform. Collaborate closely with our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for more »

Profile The ideal candidate will have a background in Data Engineering or Data Warehousing (Data Engineer/DW Developer) with robust DW development and ETL/ELT data pipeline experience, along with expert knowledge of SQL. Key Skills - Mandatory Strong data modeling and SQL/database design skills Proficiency in … ETL/ELT processes Extensive experience with Python Excellent numerical, analytical, and statistical skills Ability to visualize and present data and insights to stakeholders; experience with BI tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience … results Additional Skills Experience with JIRA/Asana Proficiency in requirements gathering and documentation Experience with multiple BI tools Knowledge of HTML Familiarity with ETL/ELT tools such as Fivetran and Matillion more »

teams, manage project timelines, and ensure the delivery of high-quality solutions on time and within budget. Utilize advanced data analytics, data modelling, and ETL (Extract, Transform, Load) processes to transform raw data into meaningful insights. Provide training to clients and internal teams on BI tools and best practices. Offer more »

requirements and be able to analyse complex datasets to identify trends and insights. The Data Scientist will also assist in the development of their ETL processes to ensure data quality. Essential Requirements Strong Data Scientist experience eCommerce sector experience preferred. AWS Databricks Python Educated to degree level or equivalent experience more »