7 of 7 Remote Scala Jobs in Berkshire

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 ❯

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 ❯

Scala Developer Tech Stack: Scala, AWS, Docker, Kubernetes, TypeScript London | Hybrid (4 Days Onsite) Base Salary up to £85,000 Harrington Starr Has partnered with a sports tech company responsible for building one of the most advanced football analytics platforms in the game. They are looking to hire a Scala Engineer to help evolve their cloud-based platform and bring … product used every day by football experts, data scientists, and developers alike. Responsibilities: Backend and infrastructure improvements across a modern, cloud-native stack Working across a codebase primarily in Scala with additional technologies (Python, TypeScript) Collaborating with teams who live and breathe football, data, and tech Supporting a culture of pragmatic, responsible engineering Key Requirements: 2+ years of professional Scala 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 ❯

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 ❯

data team. This is a hands on technical role with a small people management involved. The ideal candidate will bring strong expertise in data engineering, experience with Python or Scala, and hands on work with Databricks, Apache Spark, and Kafka. You will lead by example, guiding a small team of engineers while contributing directly to the design and delivery of … and high performance culture Design, build, and maintain scalable data pipelines and streaming solutions using Spark, Kafka, and Databricks Write high quality, efficient, and maintainable code in Python or Scala Collaborate with stakeholders to understand requirements and deliver reliable, high impact data solutions Ensure best practices in coding, testing, version control, and CI/CD are followed across the team … performance, scalability, and cost-effectiveness Support the professional development of team members, providing coaching and feedback Key requirements Proven background in data engineering, with strong knowledge of Python or Scala Handson experience with Databricks, Apache Spark, and Kafka Strong understanding of distributed data processing and data pipeline design Experience in building and optimising large scale data platforms in cloud environments More ❯