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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. ...

supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

native solutions that support analytics, automation, and digital transformation. Data Engineering, Full Stack & Platform Development Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions. Develop APIs and microservices to expose data securely and efficiently. ...

skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration ...

with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar ...

Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience ...

strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply. Essential qualifications • Extensive experience with Python and PySpark/Apache Spark. • Proven track record designing and delivering scalable data pipelines and data products. • Strong SQL and data modelling skills. • Experience with modern data architectures ...

Engineer, Principal Data Engineer or Technical Lead within a large-scale, data-driven organisation Strong hands-on software engineering expertise with Python, PySpark and Apache Airflow Deep experience designing and building distributed data processing systems and large-scale data platforms on AWS Strong knowledge of modern AWS data technologies ...

years overall experience in data engineering or data architecture. 5+ years of hands-on architecture experience specifically in Databricks . Expert in Apache Spark , PySpark , Databricks SQL , Delta Lake, and distributed systems. Strong understanding of Lakehouse architecture , BI ecosystems, and modern data platforms. Cloud expertise in Azure/ ...

processin g.Cloud Pub/Su b: For real-time messaging and event ingestio n.Cloud Storag e: For scalable and durable object storag e.Cloud Composer (Apache Airflow ): For workflow orchestration and pipeline managemen t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have ).Cloud SQL/Cloud Spanner ...

Lead Backend Software Engineer – Data Services Federated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | Kubernetes Location: London (2 days per week onsite) Rate: £700–£800 per day (Outside IR35) Duration: Initial 6-month contract with likely extension Overview We're looking for an experienced Lead Backend Software Engineer … data services capable of securely querying and processing data across multiple environments. Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks. Design and implement Kubernetes-based services and containerised workloads. Build secure APIs and backend services ...

analytics and reporting, and contributing to the adoption of AI-powered workflows and automation. Key Responsibilities & Skills: Build and maintain scalable data pipelines using Apache Airflow or similar orchestration tools. Develop integrations with internal and third-party APIs, ensuring reliable and efficient data flows. Design and optimise SQL-based ...

platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java, Scala Experience with data modelling , ETL processes, and distributed systems Comfortable working ...

Apply best practices for version control, automated testing, and deployment. Workflow Orchestration Design, implement, and maintain orchestration pipelines using tools such as: Databricks Workflows, Apache Airflow, dbt. Monitor job performance and troubleshoot failures proactively. Cloud Integration & Optimization Integrate Databricks with Azure services (e.g., Data Factory, Azure Functions, storage accounts ...

skills and attention to detail ✅ A proactive approach with the ability to own and deliver tasks Desirable: Experience with Azure Data Factory, Databricks or Apache Spark Familiarity with tools such as Fivetran Understanding of modern data architectures (e.g. medallion architecture) Exposure to CI/CD, Azure DevOps or Jira ...

Extensive experience delivering large-scale enterprise data and analytics solutions Strong track record leading architecture across complex transformation programmes Expert knowledge of Databricks and Apache Spark ecosystems Deep expertise in either Microsoft Azure Data Platform Services or AWS Data Platform Services Working knowledge of the alternative cloud platform Experience ...

engineers and support code reviews, design reviews, and engineering best practices. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. Experience with Spark ...

forums, architecture review boards, design authority meetings, and client stakeholder workshops. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. AWS Secrets Manager ...

/CD pipelines and deployment automation. • Familiarity with monitoring, logging, and observability tools. • Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. • Experience using Git and collaborative development workflows. • Basic scripting skills using Shell or Python. • Understanding of containerisation concepts using Docker. • Strong problem-solving ...

HTML5, CSS3, SASS Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache Kafka Apache Flink, Apache Beam Redis Databases PostgreSQL Oracle MongoDB Security & Compliance OAuth 2.0, Okta Enterprise security scanning: Checkmarx, Aqua Security Strong ...

optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering ...

Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object storage) Expertise in modern engineering practices, including: Continuous delivery ...

Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object storage) Expertise in modern engineering practices, including: Continuous delivery ...

range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling ...

ecosystem •Infrastructure as Code using Terraform, Ansible, or CloudFormation •GitOps tooling such as Argo CD •Scripting (Python, Shell) •Container orchestration tools (e.g., Docker Swarm, Apache Mesos) •Service Mesh technologies (e.g., Istio, Linkerd) •Monitoring and observability tools (Prometheus, Grafana, ELK) •Applying infrastructure security, compliance, and governance practices •Working within agile ...