51 to 75 of 126 Delta Lake Jobs in London

customer in Central London. Key Responsibilities Data Lakehouse Architecture: Design and optimize a high-performance lakehouse pattern utilizing Microsoft Fabric OneLake and Azure Data Lake Storage Gen2 (ADLS Gen2). Data Zone Management: Maintain architectural segregation between raw storage (immutability, landing) and curated data zones (cleansed, conformed business layers … OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls ...

enhance our Databricks platform, ensuring it remains secure, scalable and reliable. Develop and maintain batch and real-time data pipelines using Databricks, Spark and Delta Lake. Contribute to platform architecture, engineering standards and best practices across the data estate. Collaborate with Product, Analytics and Data Science teams to deliver … across the engineering team. Our ideal candidate Proven experience building and supporting scalable, production-grade data platforms. Strong hands-on expertise with Databricks, Spark, Delta Lake, Python and SQL. Good understanding of cloud-based data engineering, ideally within Azure environments. Experience working with Infrastructure as Code tools such ...

data-protection focus throughout What you'll need: 5+ years' progressive data engineering experience Strong Databricks and Spark expertise - platform internals, performance, DAB, Delta Lake, declarative pipelines Advanced Python, with solid software/DevOps practice (version control, unit testing, pipelines-as-code, CI/CD) Excellent data modelling ...

Data Architect, Lead Data Architect, Principal Data Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data products from architecture through production delivery ...

delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll DoDesign and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services. Build real-time, event-driven solutions using technologies such as Kafka and Azure ...

skills – you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux‐based, concurrent, high‐throughput, low‐latency software systems Experience with pipeline … orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities ...

interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environmentExperience in the financial markets, especially in delta one, store of value, and/or FICC options tradingExperience with Linux-based, concurrent, high-throughput, low-latency software systemsExperience with pipeline orchestration frameworks … e.g. Airflow, Dagster)Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databasesHave a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experienceFor more information about DRW's processing activities ...

skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline … orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities ...

improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST … Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration ...

/column-level security, lineage and audit Build reusable Terraform modules for Databricks and automate platform changes through CI/CD pipelines Tune Spark, Delta and Photon workloads to improve performance and reduce DBU and cloud spend Manage identity, SSO/SCIM, service principals, secret scopes and network isolation … meet security and compliance needs Operate Databricks Workflows, Delta Live Tables and orchestration integrations used by Data Scientists and Data Support MLflow, model serving and feature store usage for predictive modelling and GenAI work Monitor jobs, clusters and warehouses; lead incident response and post-incident reviews QA own work ...

platform strategy, technical direction and engineering maturity at scale. Have proven experience leading large-scale Databricks implementations, with strong hands-on knowledge of Databricks, Delta Lake, Unity Catalog, Spark, Data Lakehouse Architecture and Azure Data Services. Understand energy, commodities or financial trading environments, especially where pace, volatility, data ...

implementation of scalable data architectures on the Databricks Lakehouse platform. Oversee the development of efficient ETL/ELT pipelines using PySpark, SQL, and Delta Lake. Mentor and guide junior data engineers, promoting best practices in code quality, CI/CD, and performance tuning. Collaborate with data architects, analysts … London office for 3 days per week for collaborative working and stakeholder engagement. Essential Requirements & Skills Databricks Expertise: Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, and Spark optimization. Programming Languages: Advanced proficiency in Python/PySpark and SQL. Cloud & Infrastructure: Strong background in cloud data ...

maintaining scalable data pipelines using Databricks and PySpark. Developing high-performance batch and streaming data solutions. Designing and implementing modern Lakehouse architectures using Delta Lake and medallion design principles. Optimising Databricks workloads for performance, reliability and scalability. Implementing data quality, monitoring, and observability frameworks. Supporting governance, security … engineers with strong hands-on Databricks experience. Essential Skills Commercial experience building solutions within Databricks. Strong hands-on expertise with PySpark, Spark SQL, and Delta Lake. Experience designing and supporting production-grade ETL/ELT pipelines. Strong Python and SQL development skills. Experience working with large-scale distributed data ...

Senior Data Engineer – Databricks & DLT (Delta Live Tables) Certain Advantage are recruiting on behalf of our trading client for a Senior Data Engineerwith strong analytical capabilities and hands‐on experience in building scalable data solutions using a programming language like Python or Scala as well as experience in Databricks … Delta Live Tables - This experience is essential. Suitable candidates will have expertise inDatabricks,streaming architectures, data ingestion frameworks, anddashboarding, along with experience working withSAP data sources. You will be responsible for designing and implementing scalable data pipelines and enabling real‐time and batch analytics across the organization. Your Responsibilities ...

workflows and automated testing. Designing evaluation frameworks to benchmark, test and improve GenAI system performance and reliability. The Individual Strong expertise with Databricks, including Delta Lake, Unity Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI ...

with business stakeholders and understand the broader context behind technical requirements. Nice-to-Have Skills Experience with Apache Iceberg or similar table formats (e.g., Delta Lake, Hudi). Familiarity with CI/CD platforms such as GitLab CI, Jenkins, or GitHub Actions. Exposure to data quality frameworks such ...

keyboard. Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers. Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus. Battle-tested in migrations — you've led large transformation ...

PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet. Platform knowledge Deep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration). Familiarity with the Azure ecosystem. Working understanding of Unity Catalog. About you Around 6 or more years ...

## **Mandatory Skills****Azure Databricks Platform Engineering*** Hands-on implementation and troubleshooting of Azure Databricks* Databricks Serverless configuration and workload optimisation* Databricks SQL and Delta Lake development* Cluster management, compute policies, autoscaling, and workload monitoring**Data Engineering*** Strong Python, PySpark, and SQL development skills* Design and build ingestion ...

data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database ...

Excellent stakeholder management and communication skills. Experience providing technical leadership or mentoring. Desirable: Experience with Unity Catalog, dbt or similar transformation frameworks. Knowledge of Delta Lake, data governance and metadata management. Experience with CI/CD and automated testing. ...

continuous improvement initiatives. Key Skills & Experience Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data modelling. Cloud platform ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering ...