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 »
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 »
specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex organisation Demonstrable experience in ETL processes and developing data shares. Stakeholder management and negotiation leading to securing digital and data assets for counter fraud purposes. Recent and ongoing continuous professional more »
client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools andETL 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 »
a 50/50 split between BI reporting/analysis and data ingestion, and would suit someone with a couple years experience across Python , ETL, AWS and any BI tool (PowerBI, Tableau, Qlik, QuickSight, or GoodData - it's more about the transferable skills!). This is an ideal role for 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 »
client are seeking a Data Engineer to own the design and implementation of data solutions, with previous expertise in data extraction, transformation, and loading (ETL) processes from a variety of sources, including websites, PDFs, and real-time data streams. Being a Data Engineer at a truly tech driven fintech, you more »
Support the development team in resolving issues by using data gathered from various sources Designing, developing, and maintaining scalable and reliable data pipelines andETL processes Building and managing data monitoring tools to ensure data quality and system performance Proactively shaping your role and driving real change for the company more »
overall customer experience.The ideal candidate must have:Strong data engineering experienceStrong analytics experience Experience with SnowflakeExperience with Amazon Web Services (AWS)Strong Python experienceMatillion (ETL & ELT) experienceData Visualisation experience - Power BIExperience scripting with Javascript Strong SQL experience Experience translating data to stakeholders and other senior members of the businessRetail or more »
information technology, or a related field. Proven experience with Insurance Broking Systems data migration (ideally Acturis). Proficiency in SQL and SSIS. 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 »
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 »
up with your own solution. You will be building dashboards in Python as well as be in charge of Transformation when it comes to ETL pipelines. Experience wise, you’ll need to be a SQL Server expert with strong architecture skills and also strong skills with Python, and DBT. The 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 »
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 »
environments Excellent knowledge of data technology, data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design andmore »
doing something you are passionate about. My client is based in Central London but the role is remote for the immediate future.Jitterbit, BI, Salesforce, ETL, DATA,, EC2, DevOps, Linux, AWS, Java, CLoudwatch more »
with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but MUST have DBT. ETL or ELT The position will require you onsite 3 days per week in London. more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration andETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. … and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration andETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. more »
it to SAP data structures and formats. Identify data quality issues, inconsistencies, and anomalies, and develop strategies to address them. Data Extraction and Transformation: Extract data from source systems andtransform it to meet SAP data format and quality requirements. Develop data conversion scripts and programs as necessary. Data Load … data migration projects, particularly within SAP environments. In-depth knowledge of SAP data structures, modules, and business processes. Proficiency in data migration tools andETL (Extract, Transform, Load) processes. Strong problem-solving and analytical skills. Excellent communication and collaboration skills to work with cross-functional teams. SAP certification is a more »
Advanced knowledge of SQL including building complex queries and administrative scripts Experience in programming languages such as R/Python Proficient in knowledge of ETL tools such as SSIS, SSRS and MS Visual Studio Previous work within Charities and NFPs would be desirable Salary: £65,000-£68,000 Location: London more »
office functionality along with middle (IBOR) and back-office systems, services and data domains.Strong environment strategy and architecture design experience.Strong experience in data mining, ETL experience platforms, data visualization/reporting/presentation tools.Exposure to messaging protocols, public/private cloud platforms and EDMsExperience integrating with other industry providers to more »
London, England, United Kingdom Hybrid / WFH Options
Data Idols
are looking for a new challenge, please submit your CV for initial screening and more details. Data Architect Desired Skills and Experience AWS|Snowflake|ETLmore »
Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. ETL) Experience working in a financial investment or FinTech firm Excellent communication skills - and the ability to communicate with quantitative researchers more »
