Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: Youll be part of a company with More ❯
Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: Youll be part of a company with More ❯
Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills, able to translate technical concepts More ❯
and Python , applying data engineering best practices such as testing, version control, and CI/CD Hands-on experience building scalable data pipelines in a modern cloud environment (e.g., dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools More ❯
similar role, preferably within UK consumer lending, fintech, or financial services Hands-on experience with building data pipelines, use of SQL, Python, and relevant data engineering tools (e.g.,Snowflake, dbt, third-party ingestion tools, Dagster). Comfortable working with transactional data, credit bureau data, and open banking APIs. Understand the importance of and implement solutions for data quality, lineage, and More ❯
as a Data Engineer (or similar), ideally in consumer lending, fintech, or financial services. Strong hands-on skills in SQL, Python, and modern data engineering tools such as Snowflake, dbt, and Dagster. Experience handling transactional data, credit bureau data, or open banking APIs. Understanding of data quality, lineage, and governance in regulated environments. Comfortable working cross-functionally and turning raw More ❯
What Youll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with transactional, bureau, and open banking data . Experience delivering production-ready datasets in a regulated environment. Enjoy working in a fast-paced, collaborative setting . More ❯
automation and insight at scale. What Youll Bring Proven experience as a Data Engineer in fintech, lending, or financial services. Strong SQL, Python, and hands-on experience with Snowflake, dbt, and modern data stack tools. Skilled at building and maintaining robust data pipelines from multiple sources (APIs, ledgers, external data feeds). Knowledge of data governance and quality control in More ❯
end across the data pipeline from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a commercial More ❯
City of London, Greater London, UK Hybrid / WFH Options
La Fosse
end across the data pipeline from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a commercial More ❯
City of London, Greater London, UK Hybrid / WFH Options
Arthur Recruitment
influence tech direction in a collaborative team environment Skills & Experience Essential: Proven experience (5+ years) as a Data Engineer, ideally building new platforms from scratch Hands-on with Databricks, dbt, and Azure data services Strong SQL and Python skills Track record of working with large-scale datasets and pipelines Excellent stakeholder engagement comfortable in client-facing conversations Desirable: Previous Insurtech More ❯
engineering standards, ensuring clean, production-grade code. What Were Looking For 23+ years experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving More ❯
City of London, Greater London, UK Hybrid / WFH Options
Formula Recruitment
to uncover data-driven opportunities and solve real problems. Collect, analyse, and interpret large datasets to support strategic decisions and operational excellence. Build and maintain scalable data models in DBT and Snowflake . Develop impactful dashboards and self-service tools in Power BI , Tableau , or similar platforms. Promote data literacy across the company by communicating insights clearly and confidently. What More ❯
small consultancy looking for a talented Data Engineer to join their team. They specialise in delivering cutting-edge data solutions and need someone with strong skills in Snowflake and dbt and ideally some Python too. These tools are interchangeable with other modern data tools, so if you'd like to switch toolset, then you can still apply! The Perks: Remote More ❯
architecture frameworks (TOGAF, Zachman). Expertise in cloud-native data platforms (Azure, AWS, GCP) and data modelling. Experience with data mesh, governance, and integration/orchestration tools (Kafka, Airflow, dbt). Knowledge of lakehouse and virtualization concepts. Exposure to AI/GenAI initiatives and ethical data practices. Skilled communicator with experience mentoring others in matrix environments. Awareness of regulatory and More ❯
Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and youll be able to play a big part in the success of our highly More ❯
endless ad hoc reports. Youll build the foundations that make analysis and experimentation effortless for everyone else. What youll do Design, build, and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across … engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and interest in consumer-focused digital products Details Hybrid role: 3 days per week in London office Salary range More ❯
endless ad hoc reports. Youll build the foundations that make analysis and experimentation effortless for everyone else. What youll do Design, build, and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across … engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and interest in consumer-focused digital products Details Hybrid role: 3 days per week in London office Salary range More ❯
Data Scientist (Pricing & Forecasting) Paying up to 80k + 10% bonus Fully remote - office in London if preferred. One of La Fosses best clients who are an industry leader within the entertainment space are currently hiring for a talented DataMore ❯
Senior Analytics Engineer (DBT) | Permanent | London (1 day a week on-site) Series C Scale-up | $50m raise in 2025 My client are a fast-scaling SaaS scale-up (Series C, $50m raised in 2025) that is redefining how global powerhouses operate. Their AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With … Own the analytics platform end-to-end: set the roadmap for models, metrics and data contracts; choose/evolve tooling and standards. Build the golden layer : design high-trust dbt marts and a documented semantic layer that powers product features Ship with reliability : stand up observability (tests, freshness, lineage, cost), enforce SLAs, and keep pipelines fast and resilient.. Be the … multiplier : mentor analysts/engineers as the team grows, partner with Product/DS/Eng, and turn business questions into data products that move the needle. Stack: dbt Python GCP Nice to have. Ie BigQuery, Cloud Composer/Run and Cloud Storage CI/CD Salary: 85K - 95K (negotiable) + Equity, PMI etc London (1 day a week onsite More ❯
Senior Analytics Engineer (DBT) | Permanent | London (1 day a week on-site) Series C Scale-up | $50m raise in 2025 My client are a fast-scaling SaaS scale-up (Series C, $50m raised in 2025) that is redefining how global powerhouses operate. Their AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With … Own the analytics platform end-to-end: set the roadmap for models, metrics and data contracts; choose/evolve tooling and standards. Build the golden layer : design high-trust dbt marts and a documented semantic layer that powers product features Ship with reliability : stand up observability (tests, freshness, lineage, cost), enforce SLAs, and keep pipelines fast and resilient.. Be the … multiplier : mentor analysts/engineers as the team grows, partner with Product/DS/Eng, and turn business questions into data products that move the needle. Stack: dbt Python GCP Nice to have. Ie BigQuery, Cloud Composer/Run and Cloud Storage CI/CD Salary: 85K - 95K (negotiable) + Equity, PMI etc London (1 day a week onsite More ❯
