18 of 18 Apache Spark Jobs in the North of England

Data Engineer Salary up to £60,000 + discretionary bonus Hybrid working model with collaborative office environment Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS Apply online or contact Chelsea Hackett via chelsea.hackett@searchability.com ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data … optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality ...

NoSQL technologies Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) Experience with big data technologies such as Spark, Hadoop, or Kafka Proficiency with ETL/ELT tools and frameworks (e.g. Airflow, dbt, Informatica) Strong programming skills in Python, Java, Scala, or similar Experience ...

Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure or GCP also considered ...

experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience building ...

experience working with data warehouses. Solid understanding of ETL/ELT design and data pipeline optimisation. Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka. Strong problem-solving skills and the ability to collaborate effectively across teams. What's on offer ...

with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

levels. Knowledge of industry‐standard data models and frameworks such as Lambda, Medallion, and Data Mesh. Experience with real‐time data processing (Kafka, Spark) and BI tools (Power BI, Tableau). Strong analytical and problem‐solving skills, translating business requirements into effective data solutions. Equal Opportunities & Reasonable Adjustments ...

teams to drive outcomes Core skills (indicative) Production pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office ...

translate business needs into technical roadmaps What were looking for Strong experience in data architecture & large-scale systems design Expertise across Python, SQL, Spark, Scala Deep knowledge of AI/ML frameworks and modern data platforms Experience with cloud-native architecture and DevOps (Kubernetes, Terraform, CI/CD) Proven ...

Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring, logging ...

Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring, logging ...

manage multiple priorities and respond calmly to issues. • Self-motivated with a collaborative approach. Preferred: • Familiarity with AWS data tooling such as S3, Athena, Spark or notebooks. • Experience supporting data products or client-facing datasets. • Understanding of release testing, UAT or production support processes. • Exposure to Jira/Agile ...

expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control ...

quality, consistency and scalability across complex datasets Contributing to architecture and technical direction within a small team Tech environment Java (core language) Python (supporting) Spark/Dataproc Distributed systems and data pipelines AWS/GCP What they’re looking for Strong Java engineering background (5+ years) Experience building distributed ...

lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing ...

systems, and modern cloud architectures . What youll be doing Design and build scalable data pipelines (batch & streaming) Work with technologies like Kafka, Flink, Spark, AWS services Develop real-time, event-driven data solutions Contribute to data architecture and modelling best practices Implement CI/CD pipelines and Infrastructure … deliver clean datasets What were looking for Strong programming skills in Java (preferred) or Python Experience with streaming technologies (Kafka/Flink/Spark) Knowledge of distributed systems and large-scale data processing Experience with cloud platforms (AWS preferred) Familiarity with DevOps tools and containerisation (Docker/Kubernetes ...