101 to 125 of 189 ETL Jobs in London

Product and Inventory Management), Financial Planner, Resource Planning, Project Costing and Billing, Expenses, Human Resources. Prior experience of interfacing systems with an ERP using ETL, XMLs, and APIs. EDI ordering experience working with SPS software. Experience using MS SQL and running TSQL queries and updates. Experience Training Users. Understanding of more »

across teams and unlocking the full potential of data within the organisation. Responsibilities Maintain and optimise available data warehouse infrastructure Design, implement and document ETL procedures for intake of new data from relevant sources employing industry standards and best practices; as well as ensure data is verified and quality checked … information technology, science, and engineering discipline. Experience performing data warehouse architecture development and management. Remarkable experience with Development and maintenance of data pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure more »

Proven experience in data management, integration, or a similar role, preferably within the sports, leisure, or health sector. • Strong understanding of data structures, databases, ETL (Extract, Transform, Load) processes, and API development. • Excellent problem-solving skills and attention to detail. • Proficient in project management and communication. • Ability to work both more »

spanning industries from SaaS; media; gaming; financial services; e-commerce and more. Pythian is known for its technology-enabled data expertise covering everything from ETL to ML. We pride ourselves on our ability to deliver innovative solutions that meet the specific data goals of each client and have built meaningful more »

Doing: Design and implement APIs, infrastructure, and backend solutions using industry best practices. Work on a data-oriented platform handling terabytes of data, building ETL pipelines, and utilizing BigQuery. Build a bespoke campaign cost estimation tool for the client. Must Have Experience: 7+ years of relevant experience. Expertise in the more »

or above in Computer Science or a related course. At least 5 years experience with Object Oriented Python At least 5 years' experience building ETL pipelines Previous finance experience If this role isn't right for you, but you know of someone who might be interested, we have a market more »

Test Lead to contribute to change on defining the migrations strategy and framework. Key requirements: Data Migration execution and Testing Data Migration Test tools ETL tools Financial Services Kite Human Capital – Hire Better We are unashamedly focused on working with only the best people, who care about customer value and more »

a history of successful complex project delivery and a track record of automating processes to drive up the efficiency of teams. Technical proficiency in ETL processes. Benefits: Comprehensive benefits, including private healthcare, dental cover, and pension. Generous holiday allowance plus additional company-wide shutdown periods. Flexible and hybrid working arrangements more »

stage, the candidate should be in the position to understand the entire data architecture and data model so as to own/enhance the ETL pipelines. The candidate should also be able to define short to long-term project plan and work on it. Some of the standard data sources … data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modelling, warehousing and building ETL pipelines • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling PREFERRED QUALIFICATIONS • Experience … with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

London Candidate Pay Rate: £500.00 - £550.00 Daily Key Skills: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets DESCRIPTION Business intelligence engineer to be a key partner for the Advertising … data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience … with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply or send your CV to luke.sandilands@cpl.com more »

with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quick sight, or similar tools • Experience with data modelling, warehousing and building ETL pipelines • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling Preferred qualifications: • Experience … with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Please apply for an immediate review more »

and optimize data usage. Create tools to address business challenges and empower users with third-party tools. Design and implement cloud-based data platforms, ETL pipelines, and data integration. Collaborate with colleagues to ensure data integrity, quality, and security standards are met. Experience required: 3 years experience working as a … platforms (e.g. AWS, Azure); given a business problem, you can analyse and evaluate options and recommend solutions. Proven experience in designing, building and maintaining ETL/ELT processes. Demonstrated ability to apply existing knowledge and experience to develop additional skills in new cloud platforms, tooling, and programming languages. Understanding of more »

of business leads in order to build the pipelines that will ultimately ingest the data for their new strats! Responsibilities: Design and implement scalable ETL solutions (structured and unstructured; batch and streaming) Building data pipelines, standardizing, and cleansing data for the investment team Define and set best practice standards surrounding … data (i.e., data modelling, database design, ETL design, job scheduling and monitoring, etc) Manage the entire data flow, from acquisition to transformation into actionable insights using SQL and Python/Java Design and maintain APIs Requirements: Degree in Computer Science. 4+ years of professional software development experience. A passion for more »

in decision-making and risk management. Design and implement innovative solutions, optimizing workflows and enhancing efficiency within the Equity domain. Leverage data analytics to extract meaningful insights, providing a competitive edge in portfolio management strategies. Ideally have a working knowledge of the front office, and equities as an asset class … Tech Stack: Python, Flask, SQL, Excel, UI (React/Angular), ETL Pipelines Please apply if you would like to work for a Tier 1 hedge fund, in a fast paced and dynamic team more »

of a team of engineers looking after and building a zero-down time low latency infrastructure Scaling and optimizing some of the most performant ETL pipelines on the planet Conducting R&D for functional programming within the firm Building out a DevOps environment from scratch in a Software Engineering Capacity … Python programming experience Knowledge of Monitoring tools is a plus Knowledge of configuration management, IaC, CI/CD etc is a plus! Exposure to ETL pipelines is a nice to have! Strong experience with functional programming languages etc. Exposure to build tools (e.g. CMake or Bazel) is a plus A more »

scalable and reliable data pipelines and platforms using various technology solutions. Extract, transform, and load (ETL) data from various sources and formats. Build and maintain ETL pipelines Ensure data quality, integrity, and security by applying data governance and validation rules. Optimise data performance and efficiency by tuning, partitioning, indexing, and … Hands-on experience in designing, planning, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments. Skilled in data integration, ETL processes, and ensuring data quality. Capable of turning data into insights using visualisation and reporting tools. Able to effectively document business use-cases, data sources more »

in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

that provide actionable insights for various business units. Collaborate with stakeholders to gather requirements and translate them into effective data visualizations. Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI and Azure Synapse. Develop and maintain data models and datasets within Power BI and … years of experience in data analytics and business intelligence, with a strong focus on Power BI. Proficiency in SQL for data extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. more »

. Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. more »

Engineer, develop, and optimize code to ensure business processes support organizational growth. Essential Requirements: Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps etc. SQL Server, including Store Procedures, T-SQL, or more »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimise database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »