326 to 350 of 832 ETL Jobs in the UK

complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures on the Databricks Lakehouse platform. Oversee the development of efficient ETL/ELT pipelines using PySpark, SQL, and Delta Lake. Mentor and guide junior data engineers, promoting best practices in code quality, CI/CD, and performance ...

Databricks Lakehouse to deliver scalable, real-time pipelines powering trading decisions, risk management, and market analytics. Key Responsibilities Data Architecture: Build and optimize ETL/ELT pipelines using Databricks, Spark (PySpark/Scala), and Delta Lake for structured/unstructured energy market data. Trading Analytics: Partner with Quants, Risk Managers ...

Gherkin syntax test creation/workflows. Experience in Python and key packages (Behave, Flask, Pyvmomi, Asyncio, PyKeepass). Experience of PowerShell & Bash. Experience with ETL workflows. Jenkins - CI/CD pipeline. Exceptional communication skills with diverse and adverse audiences - Strong critical thinking and analytical skills. Experience delivering within secure ...

Microsoft SQL Server database solutions. Expert knowledge of T-SQL, including stored procedures, functions, views and performance optimisation. Strong experience with relational database design, ETL processes (SSIS or equivalent) and high-volume transactional databases. Proven ability to troubleshoot and optimise SQL performance, including query tuning, execution plans, locking and deadlocks. ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines. Industry standard certifications such as AWS/Azure/GCP, ESB/ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann. Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least ...

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 ...

will work directly with on-premise SQL Server Always On environments using T-SQL and SQL Server Management Studio, with no reliance on SSIS, ETL or data pipeline tooling. SQL Server Database Developer - Key Responsibilities: - Develop, maintain and optimise Microsoft SQL Server databases, stored procedures, views, functions and other database ...

cost visibility Experience deploying and maintaining PHP systems, including PHP 7 and PHP 8 Strong experience working with Linux systems, particularly Ubuntu Familiarity with ETL processes and tools Experience working with relational databases including SQL, MySQL, and PostgreSQL Experience deploying and maintaining MPP data warehouses such as Snowflake or similar ...

best solutions for the future state architecture. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with ...

Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present ...

Server 2019 and later including TSQL, Stored Procedures and functions with a significant experience designing and developing SQL reports Proven data engineering integration experience (ETL/ELT/OLAP) Experience developing end to end PowerBI reports (or similar) Experience of testing (data flows, reporting etc.) Relevant system development experience Proven ...

Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present ...

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 ...

SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present ...

data modelling and curation for large-scale datasetsPreferred QualificationsKnowledge or interest in investment banking or financial instrumentsExperience 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 KafkaABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people ...

modern data engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred qualifications, capabilities ...

coding hygiene and system architectureRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stabilityExperience ...

looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

looking for: Experience working with SQL/Snowflake or other modern data platformsStrong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend servicesA collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

and curation for large-scale datasets Preferred Qualifications Knowledge or interestin 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 Goldman Sachs Highlights At Goldman Sachs, we commit ...

foundation that can handle whatever comes next. This is a remote role based in London, UK.The Daily To-DoBuild, optimize, and operate core ETL/ELT pipelines—assessing bottlenecks, documenting SLAs, and catching incidents proactively rather than reactivelyIntegrate new data sources end-to-end, activating targeting and measurement use cases ...

modern data engineering technologies Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. ...