Data Developer

iTalent PLUS • Malta, MT

2d • Hybrid

About The Position

Our client is seeking a pragmatic, production-focused professional to join their Data team. This role is ideal for someone with strong hands-on experience in building, operating, and evolving modern data platforms within a production environment.

Requirements

• Bachelor’s degree in Computer Science or an equivalent qualification.
• A minimum of 3 years’ experience with one or more object-oriented programming languages, such as Python, Java, or Go.
• Experience with ClickHouse or similar columnar database technologies, with a strong understanding of data warehousing concepts, dimensional modelling, and data lake architectures. Deep knowledge of ClickHouse internals is considered a strong advantage.
• Solid experience with RDBMS technologies (e.g. Aurora, MariaDB, MySQL), including strong SQL scripting and optimisation skills.
• Experience with streaming architectures and technologies such as Kafka, Kafka Connect, and Kafka Streams.
• Hands-on experience with Apache Airflow for data orchestration and pipeline management.
• Exposure to Prometheus and experience building or working with Grafana dashboards.
• Familiarity with microservice orchestration and containerisation tools such as Docker and Kubernetes.
• Experience developing cloud-native applications on AWS, including services such as EC2, Lambda, S3, Serverless, MWAA, and MSK.
• A strong DataOps mindset, with exposure to hands-on on-premise deployments.
• A functional programming-oriented approach to real-time streaming architectures.
• Familiarity with distributed data processing engines such as Spark, Flink, Dask, or Presto/Trino.
• Proficiency in Unix scripting.
• Fluency in English, both written and spoken.

Responsibilities

• Design, develop, and support data pipelines within a hybrid data platform, incorporating both batch and real-time data processing.
• Monitor, troubleshoot, and resolve production issues across data pipelines, ensuring high availability, reliability, and performance.
• Take a hands-on approach to Data Governance, including SLA metric capture, anomaly detection, and reporting to key stakeholders, with a strong focus on maintaining optimal data quality.
• Own and maintain several critical data platform infrastructure components.
• Research, evaluate, and prototype new technologies, particularly in support of the organisation’s AI/ML initiatives.
• Actively contribute to design, scoping, and architectural discussions for new data solutions and platform features.
• Translate business requirements and product objectives into scalable, efficient, and robust data solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level