Lead Engineer - Java/Spring/Databricks

Cpl Recruitment are partnering with an innovative financial services client to hire a Lead Engineer to join their team. In this role, you will be at the forefront of innovation with a team that's passionate about pushing boundaries. You'll play a key role in exciting projects, supported by senior leadership, and make a real impact on their platform's success. This is a very hands-on role. Candidates must be based within a commutable distance to Dublin and have a minimum stamp 4 visa. Salary: € Negotiable + Car allowance (10K) 10% Bonus, Pension, Health among others. The team are currently working 1 day a week onsite.
Responsibilities:Gain an in-depth understanding of our platform, becoming proficient in its functionalities.Design, develop, and optimize data pipelines using Databricks, Spark, and cloud technologies; ensure data quality, scalability, and reliability.Work closely with data scientists and analysts to meet their data needs, troubleshoot issues, and provide solutions.Document pipeline specifications and share insights and best practices with the data engineering community.Actively contribute to the engineering community, fostering team growth and promoting a collaborative learning environment.Requirements:Bachelor's degree in Engineering, or a related field.10+ years in software development, with a focus on designing and maintaining data pipelines.Java/Spring/Rest API microservices software development expertise at senior/lead hands-on level.Strong knowledge of DataBricks or Spark essential.Experience with Azure and familiarity with data integration and ELT/ELT tools, preferably Azure Data Factory.Background in FinTech, Banking or highly regulated environment preferred.Experience with microservices and technologies such as Spring Boot. Experience developing and consuming RESTful APIs.In-depth understanding of computer science principles, including algorithms, data structures, distributed computing, and partitioning.Proficient in test-driven development and familiar with best practices.Solid understanding of data warehouse and data lake concepts.Strong analytical and problem-solving abilities, excellent communication, and teamwork skills.Experience guiding and mentoring junior and mid-level engineers.
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