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data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. ...

Azure, or Google 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 ...

maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous ...

Collaborate with senior developers and quantitative teams on new analytics capabilities Participate in debugging, testing, and production support activities Technology Environment Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook-based ...

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing, and deployment ...

implement lakehouse architecture standards (medallion model: bronze, silver, gold), including governance, lineage, and data quality controls Design and manage secure data ingestion frameworks (e.g. Apache NiFi, APIs, SFTP/FTPS) for internal and external data sources Architect and maintain secure AWS-based data infrastructure (S3, IAM, KMS, Glue, Lake ...

techniques. Desirable: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science ...

What We're Looking For: Experience with MongoDB: Essential for this role! Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow. Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus. Data Understanding: Strong grasp of data modeling, schema design ...

systems. • Ability to obtain UK Security Clearance (SC). We'd love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including ...

role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps ...

systems. • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including ...

services such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Build data processing pipelines using Python, SQL, PySpark, Spark, Lambda, Step Functions and Apache Airflow Monitor performance, cost and security of the data platform Apply strong data governance and access control for sensitive data Collaborate with multiple teams ...

strong focus on scalability, resilience, and performance. Develop and optimise scalable data pipelines , supporting both batch and streaming workloads, using technologies such as Apache Spark . Work extensively with data technologies , leveraging Python and SQL to deliver high-quality analytical and data-driven solutions. Lead the design and delivery ...

What We're Looking For: Experience working as a Data Engineer within a modern cloud data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture. Strong SQL skills for transformation, validation and analysis. Python ...

with a backend or software engineering background Desirable: Experience with Snowflake Orchestration tools such as Dagster or Airflow dbt for data transformation and modelling Apache Iceberg or modern table formats Background in high-growth, consumer-facing products SALARY AND BENEFITS Base salary up to £100,000 Competitive benefits package ...

Deliver changes through controlled environments in line with enterprise change and release processes Required Technical Experience Core Technologies Strong hands‐on development experience with Apache Spark Proven experience building Kafka‐based event streaming systems Deep familiarity with Hadoop ecosystems , including Hive Advanced SQL for complex, large‐scale datasets Engineering ...

prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracy Desirable, but no essential: Experience with Apache Airflow or similar workflow schedulers REST or GraphQL API design experience Knowledge of fixed income, FX, or derivatives products and associated P&L/ ...

prompt engineering skills and the ability to critically evaluate AI-generated code for correctness, security, and financial accuracy Desirable, but no essential: Experience with Apache Airflow or similar workflow schedulers REST or GraphQL API design experience Knowledge of fixed income, FX, or derivatives products and associated P&L/ ...

development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play ...

Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship ...

internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/ ...

Agile Development using SCRUM. Experience of Oracle/Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such ...