1 to 25 of 39 Permanent ETL Jobs in Central London

Business stakeholders. Data Engineering & Platforms Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architecture Data integration and ETL/ELT frameworks Data platform design and implementation Cloud Technologies AWS S3 Glue Airflow IAM Lambda (desirable) Data Modelling & Architecture Data Vault Kimball Data warehousing ...

/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

particularly DP-600 and/or DP-700 Azure Synapse experience DevOps/CI-CD experience within data engineering Experience decommissioning or replacing legacy ETL tooling such as SSIS Experience working within complex enterprise data environments Interviews are planned for September. Please apply today for an immediate CV review. Kinetech ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does this sound like your next ...

extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)Technical Skill SetData Architecture & Platforms Cloud data platforms, SQL, ingestion pipelines (batch, streaming, CDC), ETL/ELT, data modelling, semantic layers, integration patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC ...

skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership. Desirable Skills (Nice-to-Haves) Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly ...

with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. #J-18808-Ljbffr ...

expertise in SQL and Python. Strong Snowflake experience, or equivalent depth in another modern cloud data platform. A proven track record designing ELT and ETL pipelines and analytical data models. Practical experience with dbt, orchestration frameworks, Git and CI/CD. A genuine commitment to data quality, testing and observability. ...

ingestion process from source to reporting layer with appropriate validation and error handling. Analyse and streamline existing on-premise relational databases (SQL Server) and ETL packages (SSIS). Build and maintain both API-based and browser-based automations Work closely with department heads across the division to support any projects ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

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 ...

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 ...

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 ...

related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client … 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 ...

report design and development skills. Ability to manage priorities and deliver work to agreed deadlines. Strong communication and influencing skills. Knowledge of SSIS/ETL, SQL Server Data Tools, SQL Server data warehousing, Excel BI add-ons and SharePoint is desirable. Experience maintaining or developing custom applications and integrations with ...

across distributed systems Domain knowledge of investment operations, asset management workflows, or financial data platforms Comfortable with configuration‐driven platforms; experience with data integration, ETL, and workflow orchestration Strong communication skills; ability to hold technical conversations with senior client stakeholders Experience mentoring engineers and embedding quality standards in delivery teams ...

latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup ...

Glue, with an appreciation for data quality and consistency is a strong advantage. Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures. Proficiency in SQL and experience querying large‐scale datasets with engines such ...

client projects. Why this role? You’ll gain hands-on exposure to: ☁️ AWS cloud & migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging AI technologies It's a strong opportunity … Work with relational and non-relational databases. Contribute to front-end development where required. 🔄 Data Engineering Build, maintain and optimise data pipelines . Develop ETL/ELT workflows and data integrations. Work with data warehouses, data lakes and analytics-ready platforms. Ensure data quality, reliability and performance. 🛠️ Production & Delivery Take ...

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 ...

international investment-banking environment. Systems Expertise: Deep practical knowledge of Oracle ERP/EPM modules, financial data integration, reporting tools, API-based integrations, ETL technologies, data lakes, accounting rules engines, and reference data. This is a fascinating role with a wide range of visibility from day one For more information ...