20 of 20 ETL Jobs in Surrey

beneficial but not essential. Key Responsibilities Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Build and maintain ETL/ELT processes and data quality frameworks Develop consistent data models and analytics-ready datasets Partner with stakeholders to deliver effective data solutions Produce technical ...

manage multiple priorities in a fast-paced environment. Technical Skills Proficiency in SQL and advanced Excel. Strong understanding of: Relational database concepts Data modelling ETL processes Data governance principles Tools & Methodologies Experience working in Agile/Scrum environments. Hands-on experience with JIRA and Confluence. Familiarity with data visualisation tools ...

capability, particularly in SQL Experience with at least one programming language such as Python, R, or similar Understanding of data warehousing and reporting architectures (ETL/ELT, star schemas, fact & dimension tables) Experience working with databases and data systems (cloud or on-premise) Interest in automating data and reporting workflows ...

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 ...

procedures, and performing optimisation - it is essential. Experience using scripting languages such as Python or PowerShell - it is desirable. Awareness of data engineering principles (ETL, modelling, pipelines). Experience supporting BI/reporting requirements using SQL and tools such as Tableau. Familiarity with version control systems (e.g., Git) and structured ...

procedures, and performing optimisation - it is essential. Experience using scripting languages such as Python or PowerShell - it is desirable. Awareness of data engineering principles (ETL, modelling, pipelines). Experience supporting BI/reporting requirements using SQL and tools such as Tableau. Familiarity with version control systems (e.g., Git) and structured ...

quantitative discipline. Postgraduate an advantage. Experience with financial data sets Very strong Python, with emphasis on data engineering and systems programming. Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT. Some exposure to DB Engine operation. Clustering, performance tuning, backups. Linux/ ...

Senior Data Engineer with some team leadership responsibilities Strong technical expertise with PySpark, Databricks, Azure, and Data Lake Deep understanding of data architecture and ETL processes in cloud environments The ability to balance coding and technical delivery with people management Excellent problem-solving skills and the energy to thrive ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

Lead – Key Skills: Experience within Data Engineering – from leading on projects or previously held a team leadership position A technical background covering the below ETL/Informatica SQL (Advanced skills) Data Modelling Power BI Excel (Advanced) Analysing data outside of SQL SFTP AND API (nice to have ...

knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access, SQL Server. Skills in Data Modelling, ETL/ELT Data Pipelines, Python scripting, Data Warehousing. Desirable Skills/Knowledge/Experience Experience in production support, troubleshooting data pipeline issues, and ensuring timely … and accurate business reporting. Expertise in Data Modelling, ETL/ELT Pipelines, Python scripting, and Data Warehousing. Strong knowledge of file formats: Parquet, Delta, CSV, Excel, PDF, JSON, Nested JSON. Good debugging skills. Proficiency with Git commands. Experience in code reusability and optimisation. Rewards & Benefits TCS is consistently voted ...

delivering insights through Power BI and developing and maintaining reports using SAP Datasphere . This role combines operational database administration with data warehouse design, ETL/ELT delivery, and BI enablement. You will work closely with business stakeholders, SAP teams, and BI developers to ensure data is reliable, well-governed … Data Warehouse operations , including schema design (star/snowflake), indexing, partitioning, and performance tuning for large datasets. Design, implement, and maintain ETL/ELT pipelines , with appropriate scheduling, error handling, and data quality controls. Manage capacity planning, storage optimisation, and version control for database objects. Ensure data integrity, lineage, and ...

5+ years professional Python experience; you've shipped and owned production systems. Built/owned a real-time/low-latency system (not batch ETL) with measurable performance goals. Strong understanding of async + multiprocessing tradeoffs and performance profiling. Comfortable owning an existing codebase: refactors, tests, architecture improvements. Experience with ...

Microsoft SQL Server environments, including performance tuning & security Own Data Warehouse operations, including dimensional modelling, indexing, and optimisation for large datasets. Design and maintain ETL/ELT pipelines with strong data quality controls. Develop and govern Power BI datasets, semantic models, and reports. Build and support analytics and reporting using … Engineer in enterprise environments. Strong SQL Server administration and performance tuning expertise. Solid background in Data Warehouse design. Hands-on Power BI development experience. ETL/ELT experience (SSIS, Azure Data Factory, or similar). Strong SQL/T-SQL skills and stakeholder communication. Please only apply if you have ...

several clearly defined, high-impact data integration projects.This is a hands-on, delivery-focused role. You’ll design, build and document reliable, production-grade ETL/ELT pipelines that integrate operational systems into our cloud data warehouse enabling improved reporting and analytics across the business.You’ll be joining … and webhooks• Land and model the data in Snowflake• Implement reliability best practices: monitoring, alerting, logging, retries, and clear documentation2) Resident management system integration• Extract and ingest data from our resident management system• Design robust data models to support reporting on neighbour wellbeing and operations• Ensure maintainable transformations and clear ...

pipelines and orchestration workflows Design database schemas and data models Integrate and enrich data from multiple sources, ensuring consistency and quality Design and implement ETL/ELT processes (e.g., using Apache NiFi) Produce reusable, maintainable code with a test-driven approach Maintain and enhance existing data platforms and services Investigate … actionable technical tasks Monitor and optimise system performance for reliability and efficiency Required skills Apache Kafka Apache NiFi SQL and NoSQL databases (e.g., MongoDB) ETL/ELT development using Groovy, Python, or Java Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies and provide input into … technologies such as MS SQL or Oracle Experience with noSQL technologies such as MongoDB, InfluxDB or Neo4J Strong data exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and ...

Responsibilities: Lead and prioritise day to day workload for the Data Services team Remain hands-on with data engineering, modelling and remediation work Oversee ETL pipelines, data processing and release cycles Review solutions, troubleshoot issues and drive continuous improvement Support and develop engineers through coaching and technical leadership Work closely … evolution of the data warehouse and future cloud-based platform Skills & Experience: Strong hands-on technical background in data engineering Proven experience with ETL tooling (Informatica or similar - essential) Advanced SQL and experience working with large, complex datasets Experience with data modelling/data warehouse development Familiarity with Oracle data ...