51 to 75 of 405 ETL Jobs in the UK

highest levels. Job Responsibilities Data Engineering Own the architecture, quality, and scalability of Proximie's data platform. Lead the team building and maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue ...

Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge ...

Designing and implementing data transformation processes using Databricks, supporting Bronze, Silver, and Gold data layers in line with Medallion Architecture best practices. Building scalable ETL/ELT solutions to support enterprise reporting, analytics, and regulatory requirements. Creating and optimising data models and datasets for consumption by Power BI and other ...

Looking For: Languages: Strong proficiency in SQL and Python . Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested ...

Looking For: Languages: Strong proficiency in SQL and Python . Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested ...

Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns UK-based with full right to work — essential How to Apply If you meet the above criteria and are available ...

clearance, due to the nature of the work. Key Requirements Proven experience as a Data Engineer in enterprise environments Strong expertise in data pipelines, ETL processes, and data integration Hands-on experience with modern data tools and platforms (e.g. Azure, AWS, Databricks, Spark, SQL, Python) Ability to design, build, and ...

practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with ...

REST APIs , working with JSON payloads, authentication, pagination and basic error handling. Essential Skills Strong SQL fundamentals, including joins, aggregations and subqueries Understanding of ETL/ELT concepts and data pipelines Exposure to Apache Kafka or similar streaming platforms Basic knowledge of AWS services, particularly managed databases Awareness of Docker ...

APIs , working with JSON payloads, API authentication, pagination and basic error handling. Essential Skills Strong SQL fundamentals, including joins, aggregations and subqueries Understanding of ETL/ELT concepts and data pipelines Exposure to Apache Kafka or similar streaming platforms Basic knowledge of AWS services, especially managed databases Awareness of Docker ...

and Python development skills. Experience managing and developing SQL data warehouses. Strong experience with Microsoft SQL Server, SSIS and SSRS. Experience building production-grade ETL and data pipelines. Experience working with financial data and supporting reporting or planning functions. Excellent communication skills with the ability to work closely with both ...

and Cloud Data Warehouse. Ability to work with large datasets, and knowledge of data manipulation, interrogation, transformation and import procedures. Experience with data loading, ETL/ELT concepts and Big Data tools. Possesses a high-level of analytical skills, process automation, problem solving and attention to detail. Formal education ...

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 (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency in Python, Scala, or Java for data processing. Deep understanding of data warehousing concepts and best ...

clear documentation across pipelines, schemas and operational processes. Essential Skills Strong SQL skills, including complex joins, aggregations, subqueries and query optimisation Strong understanding of ETL/ELT concepts and data pipeline design Hands-on experience with Apache Kafka or similar streaming platforms Strong knowledge of AWS data services and managed ...

technologies including Glue, EMR, Lambda, DynamoDB, S3, EventBridge, Step Functions and related services Proven experience building Data Lakehouse platforms, Data Products and ELT/ETL frameworks supporting analytics, ML and AI workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data ...

machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows Experience working with structured and unstructured data Understanding of MLOps tooling and best practices Knowledge of data governance, security ...

inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. What You'll Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow ...

and DevOps practices. Experience with monitoring tools such as CloudWatch, Datadog, Grafana. Knowledge of containerization (Docker, Kubernetes) and exposure to data warehousing concepts and ETL processes. What We Offer Opportunity to lead and shape database strategy for a growing organization. Work with innovative cloud technologies and modern database platforms. Collaborative ...

requirements. Proficient use of enterprise data platforms, semantic models and dimensional modelling (star schemas, fact/dimension tables). Proficient in data architecture principles, ETL processes and data pipeline concepts. Experience with data cataloguing tools, SQL for data validation and analysis, and familiarity with data visualisation tools and cloud‐based ...

exposing data. Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability ...

with Power BI best practices, security, and sharing capabilities. Proficient in SQL and experience with querying databases (SQL Server, Oracle, etc.). Knowledge of ETL (Extract, Transform, Load) processes and tools. Analytical thinker/problem solver Keen to learn and understand what is available in the market to support ...

improvement and best practice adoption across the team Skills and Experience Previous experience working as a Data Engineer Strong understanding of data engineering principles, ETL processes and data warehousing concepts Experience using workflow orchestration tools such as Airflow to schedule, monitor and manage data pipelines Experience working with at least ...

operational performance. Key Experience: Hands-on experience with Power BI an Dashboard development. Frequent exposure to data modelling techniques. Understanding of data pipeline and ETL development. Strong SQL experience. Experience working with large datasets and data sources. Desirable: Microsoft Fabric experience or exposure. Understanding of Python or alternative coding languages. ...

and business stakeholders, you'll be responsible for the data development that powers reporting, analytics and business intelligence capabilities. Key Experience Strong understanding of ETL/ELT pipeline development. Experience building and maintaining data pipelines in cloud environments. Data modelling experience - Dimensional and 3NF concepts. Data warehousing, lakehouse and lake ...