digital technology services, and we provide large-scale technologic solutions to big companies. What are we looking for? We are looking for a Senior Data Engineer with experience in Snowflake, DBT, SQL & Python, working close to one of our main clients in financial sector. Main tasks and accountabilities will be: We're in the process of transferring many of our … data sources and pipelines to Snowflake cloud Databases, so experience with Snowflake Data Engineering or Cloud databases in general will really help you to hit the ground running. We also use Airflow and DBT heavily, so real world experience of these or adjacent technologies, would be advantageous. Design, develop, and maintain data pipelines and ETL processes using Snowflake. Optimize Snowflake … data warehouse performance and ensure data accuracy and integrity. What UST expects from you? Experience with Snowflake Data Engineering or Cloud databases in general will really help you to hit the ground running. Real world experience of Airflow and DBT. Experience of constructing tests and deploying via automated release pipelines is required. You will have a solid understanding of how More ❯
Data Engineer (Snowflake) Position Description If you're looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness cloud-native data solutions, come and help us grow our Data Engineering capability at CGI. We need a skilled Data Engineer with a focus on Snowflake to help us build scalable, impactful … travel in the London area. All applicants must have the right to live and work in the UK. Your future duties and responsibilities As a Data Engineer specialising in Snowflake, you'll contribute to the design, development, and optimisation of cloud data platforms, often working with a wide array of cloud services and tools. You'll play a hands-on … delivering data solutions that help clients extract insight 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 More ❯
and relational databases (e.g., MySQL, PostgreSQL, MS SQL Server). Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase). Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Hands-on experience with ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica, Airflow). Knowledge of big data technologies (e.g., Hadoop, Apache Spark, Kafka). Experience with cloud … e.g., Docker, Kubernetes) for building scalable data systems. Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence). Understanding data modeling concepts (e.g., star schema, snowflake schema) and how they relate to data warehousing and analytics. Knowledge of data lakes, data warehousing architecture, and how to design efficient and scalable storage solutions. Soft Skills: Strong problem More ❯
2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
City of London, London, United Kingdom Hybrid / WFH Options
83data
2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
South East London, England, United Kingdom Hybrid / WFH Options
83data
2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯
Extensive experience w ith ETL/ELT t ools (e.g., Apache Airflow, Informatica, Talend, dbt). Solid understanding of data warehousing conc epts (e.g., Kimball, Inmon) and technologies (e.g., Snowflake, Redshift, BigQuery) Experience w ith big data technolo gies (e.g., Spark, Hadoop, Kafka). Familiarity w ith cloud platf orms (AWS, Azure, or GCP) and their data services. Excell ent More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Senior Data Engineer - Snowflake - £100,000 (+10% Bonus) - London - Hybrid Company Overview: My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well … engineers. You will be joining a close-knit team of 6 Data Engineers, as well as 30 Engineers in the businesses data arm. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up … your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance. Contact me @ (url removed) or on (phone number removed). Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end More ❯
with senior stakeholders, and help drive clarity in ambiguous or evolving situations. You'll be working across cloud platforms (AWS, Azure, GCP) and using modern data tools like dbt, Snowflake, and Databricks. This role is perfect for someone who can bridge the gap between business and technology, take the initiative, and ensure projects stay aligned with strategic goals. Key Responsibilities … skills, with experience working directly with stakeholders and cross-functional teams Excellent problem-solving ability, especially when facing unclear or incomplete requirements 3+ years of experience designing and implementing Snowflake solutions Expert-level SQL and strong proficiency in Python, Scala, or Java Solid experience with ETL/ELT pipelines using dbt Hands-on experience with cloud platforms (AWS, Azure, or More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Akkodis
Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment … have a robust Infrastructure background and a good understanding of the different complexities that come when moving one system to another. Lets talk tech. The platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have experience with streaming platforms like Apache Kafka and be able to More ❯
in Python , Scala , or Java . Solid experience with ETL tools (e.g., Apache Airflow, dbt, Talend). Proficiency with SQL and relational/non-relational databases (e.g., PostgreSQL, BigQuery, Snowflake, MongoDB). Experience working with cloud environments and data services (AWS Glue, Azure Data Factory, GCP Dataflow, etc.). Understanding of data governance, data quality, and security standards. Fluent in More ❯
bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯
with other engineers on the team to elevate technology and consistently apply best practices. DBT Experience is must required: DBT macros and overwriting DBT Custom Schemas DBT Materialization details Snowflake Cluster Keys Snowflake SQL functions Required Skill and Experience: A minimum of 7+ years of IT experience in data engineering or data management field 4 - 5 years of experience in … application development using SQL, PLSQL Strong working knowledge and min of 2 years' experience in DBT, Snowflake Hands-on experience with Airflow is highly recommended Strong working experience with Python, python pandas. Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake is required 2+ years of … or in a similar role. Strong proficiency in Data Modelling, process metadata, observability, and monitoring data platforms. Familiarity with data modelling tools/techniques is a plus Azure or Snowflake training/certification is a plus Strong analytical, problem solving, communication, collaborative and organizational skills Self-driven, self-directed, passionate analytical and focused on delivering the right results More ❯
bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯
bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯
bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯
Strong analytical and troubleshooting skills, with the ability to resolve complex data-related issues. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and networking fundamentals More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Kolayo
Strong analytical and troubleshooting skills, with the ability to resolve complex data-related issues. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and networking fundamentals More ❯
be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. More ❯
or equivalent Expert experience building data warehouses and ETL pipelines Expert experience of SQL, python, git, dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar More ❯
or equivalent Expert experience building data warehouses and ETL pipelines Expert experience of SQL, python, git, dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or similar More ❯
