376 to 400 of 724 ETL Jobs in the UK

with our privacy, security and compliance requirements. You have Experience with cloud data warehouses such as Redshift. Skills in modelling and querying data in SQL and Python. Experience with ETL/ELT tooling including DBT and Airflow. Experience with CI/CD and infrastructure-as-code, within AWS cloud. Also desirable - familiarity with AWS' data tools such as EMR, MWAA More ❯

SQL Critical thinking and ability to problem solve Experience with data warehousing and database systems Exposure to working with CI/CD Knowledge of developing data pipelines Exposure to ETL (Extraction, Transformation and Load) Willingness to learn Solid understanding of software engineering principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM More ❯

Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine More ❯

reporting and analytics environment. This is a greenfield opportunity to move the business away from Excel-based reporting towards a more powerful, scalable BI solution using Power BI and ETL processes. The role will involve end-to-end delivery of dashboards and data models that will improve visibility across core business functions, including sales, operations, and inventory. Responsibilities: Engage with … stakeholders to gather reporting and data visualisation requirements Design and build Power BI dashboards and reports from the ground up Develop and maintain ETL pipelines to consolidate data from legacy sources Lead the transition from Excel to a dynamic BI platform Create robust data models and implement DAX measures for advanced insights Support and mentor internal users to ensure long … term capability within the team Skills and Experience: Strong commercial experience as a Power BI Developer Solid understanding of ETL processes and data warehousing concepts Proficient in Power BI, Power Query, and DAX Comfortable working closely with teams across finance, sales, operations, and logistics Demonstrable experience moving organisations from Excel to modern BI tools Industry experience in retail, distribution, or More ❯

experience with cloud and linux environments (AWS a plus) Understanding and/or experience with and parsing different data formats (JSON, XML, etc) Understanding and/or experience with ETL, SQL Previous work in Customer and/or Employee Experience software and systems, including pre or post-sales support Bachelor's Degree (not required as equivalent work experience may also More ❯

/Engineer with strong technical data skills as you will be playing a pivotal role in the design, implementation and maintenance of automated testing frameworks for data quality validation, ETL processes, data mapping and reconciliations. You will work closely with development, product and operations teams to identify potential issues early in the development process and ensure that the software meets … and the ability to work in a fast-paced, collaborative environment. You will be responsible for designing and building scalable automation frameworks for validating data quality, data transformations, mappings, ETL workflows, and reconciliation logic. You will also be required to interpret specifications, data models, and mapping documents to design and develop automated data validation scripts. Essential experience: Proven experience in … designing and implementing automation frameworks for data quality checks, data mappings, transformations, ETL processes, and reconciliation scripts using Python or equivalent programming languages. Proficiency in working with large data sets in XML, JSON, and CSV formats to validate data transformations and mappings. Strong knowledge of databases, SQL, ETL processes, and data warehousing concepts. Ability to interpret specifications, data maps, data More ❯

Lead Data Engineer, £ 70000 - 80000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Lead Data Engineer as they continue to grow. In this hands-on role you will be part of the team responsible for designing, creating, deploying and managing … solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL. Experience of data warehousing and data lake solutions. Good knowledge of ETL processes and tools. Knowledge of databricks. This is an excellent opportunity to join a company as it continues to grow and expand its data team. In this lead role you More ❯

Lead Data Engineer, £ 70000 - 80000 + benefits. SQL, ETL, Data Warehousing etc. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Lead Data Engineer as they continue to grow. In this hands-on role you will be part of the team responsible for designing, creating, deploying and managing the … solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL. Experience of data warehousing and data lake solutions. Good knowledge of ETL processes and tools. Knowledge of databricks an advantage. This is an excellent opportunity to join a company as it continues to grow and expand its data team. In this lead More ❯

similar field (PhDs preferred) 7+ years of experience working with large-scale data Strong knowledge of public cloud platforms (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation, and normalization Proficiency in ETL processes is mandatory Experience building components for enterprise data platforms (data warehouses, Operational Data Stores, API access layers, file extracts, user queries) Hands-on More ❯

events Communicate findings clearly to both technical and non-technical teams Apply software engineering practices to improve data systems and pipelines Continuously improve data workflows, quality, and ingestion pipelines (ETL) Stay ahead of trends in data science, reinsurance, and cyber risk What We're Looking For 2-4 years in a data-driven or technical role Strong Python skills with … deep understanding of Pandas Excellent attention to detail and a strong sense of data quality Commercial experience blending data engineering and data science approaches Experience with data ingestion and ETL pipelines Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or More ❯

events Communicate findings clearly to both technical and non-technical teams Apply software engineering practices to improve data systems and pipelines Continuously improve data workflows, quality, and ingestion pipelines (ETL) Stay ahead of trends in data science, reinsurance, and cyber risk What We're Looking For 2-4 years in a data-driven or technical role Strong Python skills with … deep understanding of Pandas Excellent attention to detail and a strong sense of data quality Commercial experience blending data engineering and data science approaches Experience with data ingestion and ETL pipelines Curious, adaptable, and a natural problem solver Bonus points for: Experience in financial services, insurance, or reinsurance Familiarity with Databricks, Git, PySpark or SQL Exposure to cyber risk or More ❯

commercial KPIs with financial revenue reporting across multiple business units. Translate financial terms into structured data definitions and ensure consistency of use across the group. Drive process automation using ETL tools, promoting efficiency and alignment. Provide technical mentorship and training to team members. Collaborate with Finance teams to meet statutory obligations and support audit processes. Convert business requirements into specifications … and deployment of business intelligence tools and visualisation platforms. Promote technology best practices and scalable analytics processes. Key Skills & Experience: Strong academic background in a relevant field. Proficiency in ETL tools (e.g. Alteryx, Databricks); experience with Retool is a plus. Advanced SQL skills for querying and modelling relational databases. Solid understanding of financial concepts; tax reporting experience is beneficial. Prior More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

experienced Data Engineer with at least 3+ years of experience. They will be working closely with one of our trading teams, building and maintaining mission critical data integration pipelines (ETL/ELT) and associated tools. Commodities and Macro alternative/fundamental data experience is preferred. What you'll do: Build and maintain data pipelines for alternative commodity and macro data. … At least 3+ years' experience as a Data Engineer, preferably in commodity or macro trading. Proficient in Python development, Devops, and Linux environments. Expert experience data pipeline development, specifically ETL/ELT pipelines. Familiarity with data analytics tools and libraries, such as Pandas and NumPy. Skilled with relational and non-relational database management. Ability and willingness to collaborate with traders More ❯

support innovation. Qualifications: 3+ years of experience analyzing data with Redshift, Oracle, NoSQL, etc. Experience with data visualization tools like Tableau or Quicksight. Knowledge of data modeling, warehousing, and ETL pipelines. Experience with statistical analysis tools such as R, SAS, or Matlab. Proficiency in SQL and scripting in Python for data processing. Bachelor's degree in BI, finance, engineering, statistics … mathematics, or related fields. 5+ years of experience analyzing data with Redshift, Oracle, NoSQL, etc. Experience with AWS solutions like EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL processes, and handling large datasets. Master's degree in BI, finance, engineering, statistics, computer science, mathematics, or related fields. Amazon is an equal opportunity employer that values diversity. We make More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

Proven experience working on large-scale, complex data architecture projects Skilled in designing and managing scalable data systems (warehouses, lakes, pipelines) Proficient with cloud platforms (Google Cloud) Experience with ETL/ELT tools and real-time data processing Strong knowledge of SQL, NoSQL, and data modeling techniques Familiar with BI tools (Tableau, Power BI, Looker) Solid understanding of data security … this role, you give express consent for us to process and submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: ETL/ELT, GCP, SQL, NoSQL, Tableau, PowerBI, Data Governance, Data Security, Data Architecture, Strategy & Design, Data Warehousing More ❯

Proven experience working on large-scale, complex data architecture projects Skilled in designing and managing scalable data systems (warehouses, lakes, pipelines) Proficient with cloud platforms (Google Cloud) Experience with ETL/ELT tools and real-time data processing Strong knowledge of SQL, NoSQL, and data modeling techniques Familiar with BI tools (Tableau, Power BI, Looker) Solid understanding of data security … this role, you give express consent for us to process and submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: ETL/ELT, GCP, SQL, NoSQL, Tableau, PowerBI, Data Governance, Data Security, Data Architecture, Strategy & Design, Data Warehousing More ❯

qualifications: Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modelling Experience with SQL Experience in the data/BI space Top 3 Must Have Skills: SQL QuickSight Pipeline Engineering, ETL, Python More ❯

qualifications: Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modelling Experience with SQL Experience in the data/BI space Top 3 Must Have Skills: SQL QuickSight Pipeline Engineering, ETL, Python More ❯

engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working with stakeholders are essential. Experience in consulting or client-facing roles is a plus. More ❯

engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working with stakeholders are essential. Experience in consulting or client-facing roles is a plus. More ❯

warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with More ❯

lifecycle processes and optimise cloud resource usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance data and KPIs is advantageous but not essential Benefits: Competitive More ❯