226 to 250 of 606 ETL Jobs in the UK excluding London

Experience with Microsoft Fabric Solid data/dimensional modelling experience Confident stakeholder management skills A pragmatic, delivery-focused mindset Fabric Lakehouse/Warehouse, Azure, ETL/ELT or data governance experience? Even better. Why this role? This isn't a "build what's on the ticket" BI role. ...

4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills Comfortable explaining complex data concepts to both technical and non-technical audiences A consultative, solutions-focused ...

4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills Comfortable explaining complex data concepts to both technical and non-technical audiences A consultative, solutions-focused ...

4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills Comfortable explaining complex data concepts to both technical and non-technical audiences A consultative, solutions-focused ...

supporting SaaS applications. Knowledge of SQL Server performance tuning and indexing. Experience with Power BI or other reporting platforms. Experience with APIs, integrations or ETL processes. Familiarity with source control and change management processes. Knowledge of workforce management, compliance or operational software. This is a great time to join ...

core data warehouse. Define end-to-end data architecture, including ingestion, transformation, storage, governance, and reporting. Lead migration of Legacy data warehouses and ETL workloads to GCP and BigQuery. Design optimized BigQuery schemas, partitioning, clustering, and performance tuning strategies. Develop data pipelines using Cloud Dataflow, Dataproc, Cloud Composer, Cloud Functions ...

modern cloud-based platform. * Utilising Power BI to create insightful dashboards and reports that empower stakeholders with actionable information for decision-making. * Developing ETL processes to efficiently manage healthcare data across different systems. * Leading proof-of-concept initiatives for new data platforms, demonstrating their benefits and building out robust solutions ...

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 ...

procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure to orchestration tooling for scheduled and dependency-driven workloads. Familiarity with SQL Server in support of legacy systems. Experience with ...

procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure to orchestration tooling for scheduled and dependency-driven workloads. Familiarity with SQL Server in support of legacy systems. Experience with ...

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 ...

platform, taking ownership of projects from raw data acquisition all the way through to production-ready products. What You'll Be Doing Building scalable ETL/ELT pipelines using Python and SQL Designing and developing data ingestion frameworks Working with large, complex and often messy datasets Leveraging AI and ...

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 ...

services, flow governance and operational monitoring. Proven experience delivering API integrations, file-based integrations, legacy system interfaces and bespoke data connectors. Experience building secure ETL and ELT pipelines for structured, semi-structured and unstructured data. Experience within MOD, Defence or secure government environments involving different security classifications. Strong understanding ...

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 ...

and architecting conceptual, logical and physical models Proven experience with SQL and NoSQL databases including PostgreSQL, MySQL, DynamoDB and Bigtable Hands on experience building ETL and ELT pipelines and optimising data transformations Practical knowledge of AWS including Kinesis, S3 and Redshift, and GCP including Pub/Sub and BigQuery Experience ...

procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. Experience of building ETL or ELT data pipelines. Exposure to orchestration tooling for scheduled and dependency‐driven workloads. Familiarity with SQL Server in support of legacy systems. Experience with ...

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 ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...

automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside ...