understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3, and JavaScript. Knowledge of JavaScript frameworks, such as React (preferred), Angular, and Vue.js. Knowledge of CSS frameworks, such as More ❯
understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3, and JavaScript. Knowledge of JavaScript frameworks, such as React (preferred), Angular, and Vue.js. Knowledge of CSS frameworks, such as More ❯
and quickly get up to speed. Ability to diagnose faults and remedy under time pressure. Additional beneficial skills or experience: Experience with stream processing (Kafka, Flink). Experience with dbt, Snowflake, Airflow. Experience with other programming languages Python, Java, Scala, F#. Kubernetes/OpenShift/Docker, helm templates. PERKS & BENEFITS Annual Discretionary Bonuses. Annual Training Allowance. Pension Scheme. Charity Donation More ❯
with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯
and business value, while also promoting engineering best practices. Key responsibilities will include: - Designing and implementing scalable data warehouse solutions using Snowflake - Building efficient ELT/ETL pipelines using DBT and other modern tooling - Writing and optimising complex SQL queries for large datasets - Applying software engineering principles to data systems, including version control, testing, monitoring and CI/CD - Working … optimal solutions - Strong SQL skills with experience across relational and non-relational databases - Proficiency in a modern programming language such as Python, Java or Scala - Hands-on experience using DBT for pipeline development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI More ❯
and business value, while also promoting engineering best practices. Key responsibilities will include: Designing and implementing scalable data warehouse solutions using Snowflake Building efficient ELT/ETL pipelines using DBT and other modern tooling Writing and optimising complex SQL queries for large datasets Applying software engineering principles to data systems, including version control, testing, monitoring and CI/CD Working … optimal solutions Strong SQL skills with experience across relational and non-relational databases Proficiency in a modern programming language such as Python, Java or Scala Hands-on experience using DBT for pipeline development and transformation Familiarity with cloud platforms such as AWS, Azure or GCP Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: Experience deploying AI More ❯
Sheffield, England, United Kingdom Hybrid / WFH Options
Cinefix
Promote Hippo’s Engineering Herd internally and externally (for example through writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Proven track record in Snowflake, Python, dbt, AWS and Terraform Proficiency in R, Bash, Java/.NET and/or PowerShell desirable Broad knowledge across cloud architectures, networking and distributed computing systems Experience of data system design More ❯
xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hartree Partners
xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/ More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/ More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
In Technology Group
projects. What We’re Looking For Proven experience as a Data Engineer or in a similar role. Strong knowledge of SQL, Python, and data pipeline tools (e.g., Apache Airflow, dbt). Experience with cloud services (AWS, Azure, or GCP). Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent problem-solving skills and a collaborative mindset. Nice to More ❯
Liverpool, Lancashire, United Kingdom Hybrid / WFH Options
Intuita - Vacancies
data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. More ❯
Newbury, England, United Kingdom Hybrid / WFH Options
Intuita
data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. More ❯
Liverpool, England, United Kingdom Hybrid / WFH Options
Intuita - Vacancies
data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. More ❯
design, development and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (databuildtool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to More ❯
design, development and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization. Build and maintain data solutions using Snowflake, dbt (databuildtool), Fivetran , Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL. Participate in the development lifecycle using Agile/DevOps methodologies using Azure DevOps. Translate simple to More ❯
with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
83data
with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯
London, England, United Kingdom Hybrid / WFH Options
83zero Limited
Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What's on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to More ❯
London, England, United Kingdom Hybrid / WFH Options
83data
Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯
Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data pipelines and queries Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable More ❯
City of London, London, United Kingdom Hybrid / WFH Options
OTA Recruitment
Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data pipelines and queries Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable More ❯