Description
We are looking for a Data Engineer to join our growing team of data experts. As a Data Engineer, you will be responsible for designing, implementing, and optimizing data pipeline flows within the system. You will support our data scientists with the implementation of the relevant data flows based on the data scientist's features design and construct complex rules to detect money laundering activity.
The ideal candidate has experience in building data pipelines and data transformations and enjoys optimizing data flows and building them from the ground up. They must be self-directed and comfortable supporting multiple production implementations for various use cases.
Key Responsibilities
* Implement and maintain data pipeline flows in production within the system based on the data scientist's design
* Design and implement solution-based data flows for specific use cases, enabling the applicability of implementations within the product
* Building a Machine Learning data pipeline
* Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
* Work with product, R&D, data, and analytics experts to strive for greater functionality in our systems
* Train customer data scientists and engineers to maintain and amend data pipelines within the product
* Travel to customer locations both domestically and abroad
* Build and manage technical relationships with customers and partners
Skills, Knowledge & Expertise
* 2+ years of Hands-on experience working with Apache Spark with Pyspark or Scala - must
* Hands-on experience with SQL
* Hands-on experience with version-control tools such as GIT
* Hands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc..
* Hands-on experience with data transformation, validations, cleansing, and ML feature engineering
* BSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field
* Experience working with and optimizing big data pipelines, architectures, and data sets - an advantage
* Strong analytic skills related to working with structured and semi-structured datasets
* Business-oriented and able to work with external customers and cross-functional teams
* Fluent in English & Spanish both written and spoken
Benefits
* Private healthcare via Cigna
* Lunch vouchers via Cobee
* Flexible remuneration plan
* Online discount platform
* Competitive employee referral program
* Generous annual leave plan
About Davies
We are a specialist professional services and technology firm, working in partnership with leading insurance, highly regulated and global businesses.
We help our clients to manage risk, operate their core business processes, transform and grow. We deliver professional services and technology solutions across the risk and insurance value chain, including excellence in claims, underwriting, distribution, regulation & risk, customer experience, human capital, digital transformation & change management.
Our global team of more than 8,000 professionals operate across ten countries, including the UK & the U.S. Over the past ten years Davies has grown its annual revenues more than 20-fold, investing heavily in research & development, innovation & automation, colleague development, and client service. Today the group serves more than 1,500 insurance, financial services, public sector, and other highly regulated clients.