• Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines.
• Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms
• Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code
• Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists
• Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance
• Collaborate across developers as part of a SCRUM team ensuring collective team productivity
• Participate in peer reviews and QA processes to drive higher quality
• Ensure that 100% of code is well documented and maintained in source code repository.

INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING

• Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows.

TEAMWORK & COMMUNICATION

• Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance.
• Superior & demonstrated team building & development skills to harness powerful teams
• Ability to communicate effectively with different levels of leadership within the organization
• Provide timely updates so that progress against each individual incident can be updated as required
• Write and review high quality technical documentation

CONTROL & AUDIT

• Ensures their workstation and all processes and procedures, follow organization standards

CONTINUOUS IMPROVEMENT

• Encourages and maintains a ‘Best practice sharing culture’, always striving to find ways to improve service and change mind set.

• Extensive professional experience as a data engineer, software engineer, data analyst, data scientist or related role
• Strongly prefer hands on experience with DataBricks or Palantir
• Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault)
• Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc…)

• Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience

• Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis.
• Strong capabilities in a scripting language such as Python, R, Scala, etc.
• Strong capabilities in SQL and experience with stored procedures
• Strong interpersonal and communication skills with Agile/Scrum experience.
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.

• Prefer Travel, transportation, or hospitality experience
• Prefer experience with designing application data models for mobile or web applications
• Excellent written and verbal communication skills.
• Flexibility in scheduling which may include nights, weekends, and holidays preferred