22 of 22 Permanent ETL Jobs in the City of London

data platfo rm.Design and develop dimensional data models within Snowflake to support enterprise reporting and analyti cs.Build, maintain and optimise production-grade ELT/ETL processes using modern engineering practic es.Develop scalable data transformation workflows with appropriate version control, testing and documentati on.Optimise Snowflake environments to improve performance and cost ...

and analytics tools including Power BI, Tableau or equivalent BI platforms used for programme performance reporting. Strong understanding of integration technologies including API design, ETL processes, data pipelines and interoperability standards relevant to controls ecosystems. Degree in engineering, computer science, project management or a related discipline or equivalent professional experience. ...

data modelling and SQL Server/database design expertise. Experience designing modern Microsoft data platforms, ideally Microsoft Fabric or Databricks. Strong understanding of ETL, Azure Data Factory, data warehousing and Lakehouse architectures. Background within Financial Services, with exposure to investment data highly desirable. Excellent stakeholder management skills with the ability ...

Azure technologies Expertise in Azure Databricks development, including efficient handling of large datasets Strong working knowledge of Azure Data Factory for building complex ETL workflows Experience with performance optimization of data pipelines and distributed processing setups Proficiency in Scala development (hands‐on experience highly desirable) Solid understanding of Azure services ...

. Strong knowledge of Spark, PySpark, Delta Lake, SQL and modern data engineering. Expertise with Microsoft Azure Strong understanding of data modelling, governance and ETL pipelines. Excellent stakeholder management and consultancy experience. What's in it for you? 📍Remote with travel to clients expected 💰Salary: £100,000 - £120,000 📈Great ...

pipelines, process billions of market data records, and deliver reliable, production-quality datasets for research, analytics and real-time applications. Key Responsibilities Build scalable ETL/ELT pipelines for batch and streaming market data. Develop production-grade Python and SQL solutions. Ingest, normalise and validate market data, including trades, ticks ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, and data ...

curation for large-scale datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

Analytics, Mathematics, or related field.Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools)Data Proficiency: Experience with data environments, ETL and visualization toolsLeadership: Demonstrated experience leading Agile teams and managing product backlogs.Soft Skills: Excellent communication skills, with the ability to translate technical concepts ...

projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and ...

industry isn't important). Strong knowledge of data integration methodologies and tools, specifically within the Collibra ecosystem. Proficiency in SQL and experience with ETL processes. Familiarity with data governance principles and frameworks. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal, with ...

designing and evolving data systems that power Tier 1 datasets, improving reliability, reducing technical debt and modernizing legacy workflows. This includes building advanced ETL pipelines, implementing intelligent automation and developing robust data quality controls and monitoring frameworks to ensure data accuracy, completeness and timeliness. In addition, you will play … takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets Modernize ...

using Databricks on AWS. Build and optimize data processing frameworks using PySpark, Spark SQL, Python, Delta Lake, and Databricks notebooks. Develop end-to-end ETL/ELT pipelines for ingestion, transformation, validation, and consumption. Work with AWS services such as S3, Glue, Lambda, EMR, IAM, KMS, CloudWatch, Secrets Manager, Athena … processing. Strong understanding of Delta Lake and lakehouse architecture. Hands-on experience with AWS S3 as a data lake storage layer. Experience in building ETL/ELT pipelines for batch and near-real-time data processing. Experience with data formats such as Parquet, Avro, ORC, JSON, and CSV. Good understanding ...

structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL). Front-end or IaC delivery experience to complement the backend core. How you'll know this job is for you You like being the person ...

perform Quality Assurance checks according to the project and industry standards Ability to coordinate and manage own workload support project delivery Familiarity with ETL tools like FME and GIS integrations Excellent communication and engagement skills Understanding of construction processes, asset lifecycles and industry regulations and standards Experience in large infrastructure ...

engineering standards, defining best practices and mentoring a growing team while remaining hands-on with complex technical delivery. You'll design and build scalable ETL and ELT pipelines, develop robust data models, oversee CI/CD processes, and ensure high-quality data solutions are delivered across AI, analytics and client … team. DATA ENGINEER ESSENTIAL SKILLS Commercial experience in a Lead or Senior Data Engineering position Strong SQL and Python development skills Expertise building ETL and ELT pipelines Experience designing scalable data models and data warehouses Knowledge of Azure, AWS or GCP cloud platforms Experience with CI/CD, Git and ...

will own end-to-end data systems, driving data quality, reliability, and scalable workflows across Tier 1 datasets. You will design and modernize ETL pipelines, implement robust monitoring, and define governance practices. Collaboration with Product, Engineering, and data stakeholders is essential to deliver high‐impact solutions that align with Bloomberg ...

Senior Data Engineer, you'll design, build and optimise scalable data pipelines that support high-performance applications and analytics. You'll develop reliable ETL processes, improve data quality and platform performance, and work closely with Product and Engineering teams to deliver robust data solutions. You'll also contribute to architectural … subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Data Architecture, Data Modelling, PostgreSQL, NoSQL, Cloud, AWS, Azure, GCP, Big Data, Agile. ...

pipelines and orchestration tooling. Develop database schemas and data models. Integrate and enrich data from multiple sources, ensuring quality and consistency. Design and implement ETL processes (e.g. using NiFi). Write clean, secure, test-driven code that is reusable by default. Maintain and enhance data ingestion and storage architectures. Investigate … into epics and stories. Implement appropriate data security controls. Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services ...

Title: IT Owner Financial Crime Transaction Monitoring Business area: Financial Crime Transaction Monitoring systems (NICE Actimize SAM an advantage Technical stack: NICE Actimize SAM ETL, data extraction and analysis location: London city and home working hybrid 50/50% flexibility salary: £85-£125,000 dependant on skill set and bonus … NICE Actimize (SAM - Suspicious Activity Monitoring); Transaction Monitoring systems & Data warehouse environments Deep understanding of Data warehouse environments Must demonstrate solid experience in understanding ETL, data extraction and analysis using SQL Experience operating as a Financial Crime, Compliance, or related domains technology product owner or change lead, accountable for delivery ...

thrives on untangling complex systems and modernising core infrastructure without breaking production. This is an exciting opportunity to modernise core C#/SQL systems! Extract legacy business logic, build clean services, and verify changes in shadow mode with zero downtime to revenue flows. Extract business rules scattered across C#, embedded … and modern .NET, as both will coexist for the whole transition period. Navigate across the multiple existing systems such as the API façade, the ETL pipeline, the SNS/SQS event bus, since neither system is self-sufficient and most real bugs live in the coupling, not one side. Deploy ...