16 of 16 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 ...

improve team quality Support production systems and troubleshoot issues Write clean, tested, and maintainable code Tech Stack Python & SQL AWS (EMR, Athena, Lambda) Apache Spark (Scala or PySpark) Big data/distributed processing tools What They’re Looking For Strong experience as a Data Engineer using Python … Experience working with AWS or similar cloud platforms Hands-on experience with Apache Spark Ability to work with large, complex datasets Strong problem-solving and analytical mindset Understanding of CI/CD, testing, and agile development practices Confident communicating with technical and non-technical stakeholders Exposure ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

direction within your team Required Skills and Experience Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

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 ...

expertise Proven experience in IAM (Identity & Access Management), cyber operations, and/or vulnerability management Hands-on experience with big data technologies (eg Databricks, Spark) and cloud platforms Proficiency in Python or similar programming languages Experience developing data-driven solutions within cybersecurity environments Strong understanding of cyber threat landscapes ...

engineering across ingestion, transformation and data centralisation. Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. ...

engineering across ingestion, transformation and data centralisation. Experience with tools such as Glue, Fivetran, Kafka, Dataflow, ADF or Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. ...

databases into ADLS Gen2 and OneLake Develop structured data models aligned to Lakehouse, Medallion Architecture, and Delta Lake patterns Continuously profile, debug, and optimise Spark jobs, SQL queries, and Python scripts for maximum performance and cost-efficiency at scale Champion DevOps best practices: implement infrastructure-as-code (Terraform), automated … Essential Technical Skills Advanced proficiency in Python and PySpark, writing clean, modular, object-oriented code for data transformations Strong command of SQL (T-SQL, Spark SQL) for data exploration, validation, and final-stage modelling Deep hands-on experience with Microsoft Fabric and its tooling such as Azure Data Factory ...

/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles Implement and maintain CI/CD pipelines … sustainability, and recoverability Essential Skills & Experience Proven experience as a Lead or Senior Data Engineer in enterprise-scale environments Hands-on expertise with Hadoop, Spark, and Splunk Advanced Python development skills Experience designing and optimising high-performance data pipelines Strong understanding of CI/CD, source control, and automated ...

data architectures Build scalable ETL workflows and data lake solutions using AWS-native services Engineer high-performance data processing solutions using Python, Java, Scala, Spark and SQL Integrate structured and unstructured data from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data … expertise, particularly across data and analytics services Hands-on experience building ETL processes and data lake/warehouse architectures Proficiency in Python, Java, Scala, Spark and SQL Experience processing large-scale structured and unstructured datasets Experience extracting and integrating data via APIs and custom scripting Strong analytical thinking ...

Data Engineer Role: Data EngineerLocation: Newcastle Upon TyneSalary: TBC – Depending on experienceLevels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is ...

experience with Cloudera Data Platform (CDP) on AWS or recent Hadoop administration on similar platforms. AWS administration and platform management experience. Strong experience in Spark, Airflow, Apache Ranger, Impala (AWS CDK is a plus). Agile experience with Scrum, and tools including Jira, Slack. Familiarity with PowerBI ...

everything listed below, but experience with a combination of these would be valuable: Power BI, Tableau or other BI/visualisation tools Databricks or Spark (certifications are a plus) AWS (Solutions Architect knowledge desirable) SQL/Spark SQL Snowflake Cloud-based or enterprise-scale data platforms (e.g., Cloudera ...