12 of 12 Permanent Scala Jobs in the Thames Valley

data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively More ❯

DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI/CD More ❯

real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale data systems in production Experience with orchestration and deployment tools like Apache Airflow and More ❯

Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications & Skills: Strong problem-solving and analytical skills. Experience in designing and More ❯

to complex data challenges. Requirements 10+ years of hands-on experience in software development. Bachelor’s degree in Computer Science or a related technical field. Strong programming expertise in Scala, Java, or similar languages . Proven track record building distributed systems or working on large-scale projects. Deep understanding of cloud-native big data technologies . Strong foundation in software More ❯

caching . Exposure to databases (Realm/CoreData). An advocate of clean coding practices . Tech they use (and love): iOS | Android | Swift | Kotlin | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for the team: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A More ❯

Library ). An advocate of clean coding practices . Additional knowledge of Swift is beneficial. Tech the team use (and love): Android | iOS | Kotlin | Swift | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for our partner: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A More ❯

concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala (minimum of 2). Extensive Data Engineering hands-on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. … and you MUST have the Right to Work in the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. More ❯

A-level Maths or equivalent Excellent Excel skills Logical thought processes A STEM degree from a top ranked University An interest and some coding ability (VBA, Ruby, Go, Lua, Scala, Python or C++ or OO Language) An appetite for delivering solutions to complex problem My client is based in London More ❯

concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential Skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on … Right to Work in the UK long-term as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications More ❯

Azure Data Engineer Up to £72,000 + Benefits International Law Firm – London (Hybrid) I’m working with a highly respected international law firm that’s looking for a skilled and proactive Azure Data Engineer to join their forward-thinking More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: At least Candidate should know Scala coding language. Pyspark profile will not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase More ❯