Scala Developer

Adecco Portugal; London Borough of Bromley; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

Adecco Portugal is seeking a skilled Scala Developer on a contract basis in Bromley. The role focuses on building and supporting enterprise data pipelines and OpenShift-based solutions for a security-conscious investment banking environment.

You will work with cross-functional teams to deliver scalable, cloud-native data processing, ETL/ELT tasks, and CI/CD practices. The position requires strong Scala development skills and experience with OpenShift and Apache Spark.

Qualifications

• Proven experience as a Software Engineer with a strong focus on Scala development.
• Extensive hands-on experience with OpenShift and Apache Spark.
• Experience in developing and maintaining scalable data pipelines for batch and real-time processing.

Responsibilities

• Develop and support enterprise data pipelines and OpenShift-based solutions.
• Collaborate with cross-functional teams to deliver cloud-native solutions for digital and AI programmes.
• Enhance platform performance and support operational transformation initiatives.

Skills

Scala

OpenShift

Apache Spark

Data pipelines

CI/CD

Git

Agile methodologies

Collaboration

Tools

OpenShift tooling

CI/CD pipelines

Git

Job description

Scala Developer (Contract)

Duration: 12 Months (Possibility for extension)

Location: Bromley/Hybrid (3 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

Our client, a prestigious organisation in the investment banking sector, is seeking a skilled Scala Developer to join their team on a fixed-term contract basis. The successful candidate will play a pivotal role in developing and supporting enterprise data pipelines and OpenShift-based solutions.

This position offers an exciting opportunity to contribute to scalable, secure, and efficient data processing, application deployment, and operational transformation initiatives.

Key Responsibilities

• Develop and support enterprise data pipelines and OpenShift-based solutions to enhance the organisation's data processing capabilities.
• Collaborate with cross-functional teams to deliver reliable, cloud-native solutions that meet the organisation's business-critical digital and AI programme needs.
• Enhance platform performance and support ongoing operational transformation initiatives.
• Leverage strong hands-on experience with OpenShift for deploying, managing, and scaling containerized applications in enterprise environments.
• Utilise proficiency in Scala programming to develop robust, scalable, and high-performance data processing applications.
• Build and optimise large-scale data processing and analytics pipelines using Apache Spark.
• Develop and maintain end-to-end data pipelines for both batch and real-time data processing.
• Apply solid understanding of data engineering concepts, including ETL/ELT processes, data transformation, and distributed computing frameworks.
• Implement best practises in containerisation technologies, CI/CD practises, and cloud-native application development.
• Utilise version control systems such as Git and adhere to Agile software development methodologies.
• Demonstrate strong analytical, troubleshooting, and problem-solving skills to optimise system performance and reliability.
• Communicate effectively and collaborate with cross-functional teams and business stakeholders.

Skills & Experience

• Proven experience as a Software Engineer with a strong focus on Scala development.
• Extensive hands-on experience with OpenShift and Apache Spark.
• In-depth understanding of data engineering principles and practises.
• Experience in developing and maintaining scalable data pipelines for batch and real-time processing.
• Familiarity with Agile methodologies, including pair programming and daily stand-ups.
• Strong teamwork skills, with a history of sharing code bases and continuous integration practises.
• Excellent communication skills, with an ability to engage effectively with technical and non-technical stakeholders.

Candidates will need to show evidence of the above in their CV in order to be considered.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.