101 to 125 of 217 ETL Jobs in London

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 and more »

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 »

teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration and ETL/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 and ETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. more »

with data engineers and analysts to design, develop, and implement data pipelines. Key responsibilities of the Mid-Level Data Engineer; Design, develop, and implement ETL pipelines to extract data from various sources (databases, APIs, etc.). Designing and implementing CI/CD workflows for data engineering projects. Cleanse, transform, and … validate data to ensure high quality and consistency before loading it into data warehouses or data lakes. Assist in optimizing ETL processes for efficiency, scalability, and performance. Develop and maintain documentation for data pipelines and data models. Troubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity. Collaborate with … needs and business requirements. Stay up-to-date with the latest trends and technologies in the data engineering field, particularly in the area of ETL tools and frameworks. Participate in code reviews and knowledge-sharing sessions within the team. About You We're looking for a Mid-Level Data Engineer 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 »

are looking for a new challenge, please submit your CV for initial screening and more details. Data Architect Desired Skills and Experience AWS|Snowflake|ETL more »

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 »

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 »

platform (preferably GCP).BSc/MSc in computer science, maths, physics or STEM subject.Basic knowledge of statistics and machine learning.Experience with Spark, Apache services, ETL tools, Data visualization and dashboards.Experience with streamed data processing, parallel compute, and/or event based architectures.Experience with web-scraping tools and techniques.Data Software Engineer more »

Analytics, Statistics, Flexible, collaboration, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlow, ELT, ETL, AWS, Azure, Database, Data Engineer, Engineering, Development, Pipelines, GCPJob typePermanent more »

Experience working within the insurance industry or Insurance Broking Systems, most ideally ActurisProficient within SQL and data manipulation languagesWorking with data integration tools and ETL tools and processesA strong analytical and critical thinking skill set with a focus on providing practical solutionsExperience working focused on infrastructure, software and application in 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 »

API design, RESTful APIs, and other integration protocols. Ideally some knowledge of Azure cloud technologies and Terraform IaC Knowledge of data integration patterns and ETL processes is important for effectively moving and transforming data between different systems. Understanding cloud security best practices, data privacy laws, and compliance standards. Knowledge of more »

enabled business transformation programs as Data Architect & consultant. Good Experience in onboarding the process to analyze in Signavio/Celonis and provide support in ETL and provide the insights and root cause analysis with management and senior stakeholder. Certified Lean Six Sigma Green Belt, BKO Accredited Training in Udemy. Good more »

of systems such as Microsoft Office 365, Dynamics 365, SAP Success Factors, Treasury Openlink Findur, CMS, BACs Payment Platforms, Microsoft Power BI, Integration/ETL, Azure Active Directory Single Sign On and other bespoke applicationsExperience in executing business continuity planning and IT DRPCreating solution and technical application architectures, IT standards 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 »

data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of more »

one. As part of Shepherd SAP S/4Hana Digital Transformation program, we therefore require someone with high level expertise in D&A management (ETL)/tools and experience in leadership. The successful candidate will be responsible for the Pet Nutrition area and will be working closely with all other more »

technology to build a SaaS product. You will be working closely with the Data Scientists and wider engineering teams. Responsibilities Maintaining Python/SQL ETL pipelines Shape future architecture to enhance ML/AI capabilities Collaborate with several teams to provide technical solutions Requirements Early-stage start-up passion Strong more »

determine complex data relationships and requirements. You will also support the wider analytics/ML/assurance team and business by building and supporting ETL pipelines and processes. This is with a Google Cloud Premier Partner that provides services in cloud strategy and migration, cloud hosting, big data, machine learning more »