on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects Extensive hands-on experience in data warehousing design, tuning andETL/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 »
CI\CD automation NoSQL Database Technology such as MongoDB CDC and streaming technologies such as Qlik Replicate & Kafka Basic data architecture principles, solutioning andETL 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 ETLload performance. Provide production more »
Tyne And Wear, England, United Kingdom Hybrid / WFH Options
Sellick Partnership
designing end user reports Strong management and leadership skills Experience and understanding of data architecture and infrastructure to include data pipelines, data warehousing andETL 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 »
London, England, United Kingdom Hybrid / WFH Options
Pioneer Search
in delivering complex solutions for Enterprise level Clients. As well as maintaining robust and scalable applications in Scala, you will be able to implement ETL pipelines to process, transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software 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 »
Azure technologies Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) Data modelling, data warehousing andETL 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 »
Azure technologies Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) Data modelling, data warehousing andETL 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 »
to take their next step in their career and wants to take on more responsibility.Technical Skillset:Experience as a data engineerdeveloping and maintenance of ETL/ELT processesGood experience in Data Modeling within a cloud-based data platformStrong experience with SQL ServerAzure data engineering stack, including Azure Synapse and Azure 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 »
platforms, grounded in industry knowledge and standard methodologies. Experience in script writing with SQL or similar, coupled with practical expertise in database design andETL processing is essential. Good communication skills, adept at collaborating with business users to define problems and craft tailored solutions, while building and influencing business partner 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 »
Cheltenham, England, United Kingdom Hybrid / WFH Options
Catch Resource Management
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 andETL/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 »
optimizing data processing performance Strength our data stack to bear the load of our ever expanding, data driven business Develop and maintain data models, ETL processes, and data warehousing solutions to support analytics, machine learning, and reporting Ensure data security and compliance with industry regulations and best practices Identify, analyse … data engineering Are an expert building complex and robust data architectures handling large amounts of data Have experience with data modelling, data warehousing, andETL processes You'll get extra points for... Having the gaming industry experience Your experience as a Team Technical Lead/Delivery Manager Possessing high problem more »
teams, manage project timelines, and ensure the delivery of high-quality solutions on time and within budget. Utilize advanced data analytics, data modelling, andETL (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 »
and non-technical stakeholders. Requirements of the Principal GCP Data Engineer: Minimum of 7 years in Data Engineering roles Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines, optim... more »
Data Engineering Manager A brand-new and exciting opportunity has arisen for a Data Engineering Manager with extensive experience in Azure, SQL, ETLand mentoring/managing engineers to join the UK's Largest Charity based remote. The Data Engineering Manager will be intrumental in their migration over to Azure more »
