The Senior Data Engineer role is part of the Business Intelligence function. Collaborates closely with stakeholders across the company to design, develop and maintain our client’s payments data warehouse and business intelligence solutions. Data Engineers draw their expertise and experience to assist in engineering high-quality solutions to complex problems in the domain, helping to shape the future of the copmany’s platform and constantly raise the bar. Experience in steering data teams’ growth through mentorship is a definite plus.
Acquire and maintain an in-depth understanding of the business logic embodied in data solutions, its development infrastructure and project delivery process.
Work in a multi-functional team to design and implement phases of product and technical initiatives, making effective data engineering decisions.
Be accountable for quality code and a champion of best industry practices, keeping up to date with technological trends.
As a senior member of a cross-functional team, drive the delivery of high quality data solutions, while ultimately being accountable for their code quality, providing constructive feedback and motivation to this end.
Actively participate in guilds and community of practice teams and initiatives, shaping the technology roadmap
Drive improvements in technologies, standards and best practices and propose strategies and initiatives to shape our data strategy
Ability to support the running of data solutions in a critical environment.
5+ years of experience working in data or business intelligence environments.
Well-rounded knowledge of cutting-edge technologies and data engineering practices and processes, up to date with the latest developments.
Extensive knowledge of data warehouse design and concepts
Extensive experience in an object-oriented language such as Python, Java or Scala
Expert in SQL
Good experience with Database Management Systems such as Microsoft SQL Server and MySQL.
Proficient in using a data integration tool such as Talend, Pentaho or SSIS.
Experience using a data visualisation tool such as PowerBI, Tableau or QlikView.
Experience of an analytics engine such as Apache Spark and ability to write applications using libraries such as DataFrames and Spark Streaming is desirable.
Knowledge of statistical computing language such as R+ will be considered an asset.
SpotOn Connections offers international recruitment solutions and career consultancy for all industries across Europe. We deliver a premium service at all stages of the recruitment process, taking the time to get to know our clients and candidates on a personal level so that we can make the perfect match. Our network of consultants come from a recruitment background, with particular specialisation on the finance, legal, technical, and multilingual industries. We currently have offices in Malta and Portugal.