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data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments, trading, or other data-rich environments. Experience with real-time analytics and low‐latency data architectures. ...

years of hands-on experience with Snowflake Strong SQL development and performance tuning expertise Experience building ELT/ETL pipelines using tools such as dbt Labs, Informatica, or Fivetran Experience with scripting languages such as Python Experience with cloud storage (S3, Azure Blob, GCS) Strong understanding of data warehousing concepts ...

security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy ...

Week Onsite) Type: Fixed Term Contract (6 Months) Mandatory Skills Needed : SQL ( Advanced) , AWS Cloud (Glue,Ethena,EMR), Airflow, Kafka/Kenesis ,Python, Terraform DBT & Snowflake (Basic) AWS Data Engineer Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores. Build and maintain data ...

beneficial) Strong data modelling knowledge Understanding of data governance and security best practices Ability to translate business needs into scalable solutions Desirable Airflow, dbt, Kafka, CI/CD, BI tools, governance platforms, financial services experience. Interested in building modern, enterprise-scale data platforms in a highly regulated environment? Apply ...

preferred, or similar, for pipeline development and automation Cloud experience across AWS, Azure, or GCP Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents Good habits around governance, security, documentation, version control (Git), and CI/CD The kind of person who thrives here Confident, curious ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting ...

Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable ...

data via APIs and services. Clear communication skills and experience working in Agile delivery teams. Nice to Have: Data warehousing and dimensional modelling (e.g. dbt). Basic Power BI knowledge. Relevant Microsoft or Azure certifications. Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

data warehousing and modelling across curated and analytics layers Enhancing governance, lineage, and data quality across the platform Introducing and optimising tooling such as dbt and orchestration frameworks Supporting an upcoming migration project and modernisation of existing processes Collaborating closely with senior engineers and business stakeholders Requirements and Tech Stack ...

stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation ...

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

years’ experience as a Data Engineer with a strong focus on ETL/ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding ...

environment. Contribute to continuous improvement, identifying opportunities to optimise processes, workflows and system performance. Skills & Experience Required Experience building data pipelines in distributed environments (DBT, Snowflake, SQL Server Stack; experience with Kafka, MySQL, Azure or AWS is a plus). Strong expertise in Data Vault and Dimensional modelling is essential. ...

problem-solving skills The ability to communicate technical concepts clearly to non-technical audiences Desirable experience includes cloud certifications, Infrastructure as Code (e.g. Terraform), dbt, or Databricks. What’s on Offer Competitive salary of £50,000–£55,000 Discretionary annual bonus 25 days’ annual leave plus options to purchase additional ...

facing Enterprise SaaS products at scale. Strong hands-on or architectural experience with modern data platform tooling, including but not limited to Apache Airflow, dbt, Kafka, AWS Glue, AWS Redshift, AWS Sagemaker, AWS Dynamo, AWS Quick Sight. Success leading a data engineering team through complex challenges that are large ...

/ETL workflows). Experience working in multi-cloud environments (GCP/Azure). Proficiency with platforms such as BigQuery, Dataflow, Dataform, Cloud Run, DBT, Dataproc, SQL, Python, Airflow, Pub/Sub, and equivalent Azure tooling such as ADLS, Azure Functions, and Databricks. Experience with microservices architectures (Kubernetes, Docker). ...

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

Supporting the design of scalable, secure data architectures on cloud platforms (AWS, Azure, or GCP) Working with modern data technologies such as Snowflake, Databricks, dbt, and ETL/ELT tooling Helping define data models, ingestion patterns, and governance approaches Collaborating with engineers, analysts, and client stakeholders to deliver production-ready ...

improvements, upskilling opportunities, and resourcing required to support the target state. The required tech stack is Google Big Query plus ‘Infrastructure as Code’/DBT to be confirmed. Key deliverables Documented target state BigQuery architecture and data model. Defined and implemented golden tables with clear ownership and governance. Standards ...