Senor Data Engineer (Java)

Senior Data Engineer

Location: Dublin (Hybrid – 3 days onsite)

Duration: 12 months rolling contract

Overview

My financial services client is looking for a Senior Data Engineer to design, build, and scale data and analytics solutions across on-premise and cloud platforms. The role involves working within agile teams to develop data products, pipelines, and analytics capabilities that support business decision-making.

Key Responsibilities

• Lead the design and delivery of complex data engineering solutions.
• Build and maintain scalable data pipelines, data models, and analytics platforms.
• Develop cloud-based and big data solutions.
• Ensure high-quality, well-tested, and maintainable code.
• Mentor junior engineers and contribute to technical leadership.
• Collaborate with product, design, and engineering stakeholders across teams.
• Drive continuous improvement in development processes and best practices.

Required Skills

• Strong experience with Spark, Hadoop, and cloud data platforms (Databricks preferred, Snowflake also relevant).
• Advanced proficiency in Python or Scala.
• Strong SQL and data engineering expertise.
• Experience building large-scale data processing pipelines and analytics solutions.
• Experience leading technical initiatives and mentoring engineers.
• Bachelor's degree in Computer Science or equivalent experience.

Please feel free to reach out for more information - imran.jiwo@nicollcurtin.com

Senior Data Engineer (Java)

Dublin (Hybrid)

Permanent

Role Overview

An established organisation operating in the financial services domain is seeking a highly skilled Senior Data Engineer with strong Java development expertise. The successful candidate will play a key role in designing, building, and maintaining scalable data pipelines and backend systems that support business‑critical data platforms, analytics, and regulatory reporting.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes
• Build and enhance robust backend services using Java (8/11/17)
• Work with large-scale data processing frameworks such as Apache Spark and Hadoop
• Develop and optimise both real-time and batch data processing systems
• Integrate data from multiple internal and external sources, including high‑volume transactional and analytical systems
• Ensure data quality, governance, and compliance in line with industry regulations
• Collaborate with cross‑functional stakeholders such as engineers, analysts, and data scientists
• Drive improvements in system performance, scalability, and reliability
• Contribute to architecture design, technical standards, and best practices

Required Skills

• Strong Java programming experience
• Solid understanding of data engineering principles
• Hands-on experience with Apache Spark, Kafka, SQL and NoSQL databases, ETL tools and frameworks
• Experience working with cloud platforms
• Knowledge of data modelling and data warehousing
• Familiarity with microservices architectures

Reach out to imran.jiwo@nicollcurtin.com for more information