Data Science Technical Lead (Spark/Kinesis/Hadoop/AWS/Agile), Jobs, Bristol, Bristol, 481


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curriculum vitae

/ˈviːtaɪ; ˈvaɪtiː/
noun (pl) curricula vitae
1. an outline of a person’s educational and professional history, usually prepared for job applications CV

Word Origin
Latin, literally: the course of one’s life

Data Science Technical Lead (Spark/Kinesis/Hadoop/AWS/Agile) - Bristol

to be discussed - Information Technology - Data Specialist
Ref: 481 Date Posted: Monday 13 Nov 2017
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Data Science Technical Lead (Spark/Kinesis/Hadoop/AWS/Agile) - Bristol - c£Negotiable

Our global client are looking for an experienced and highly motivated Data Science Technical Lead who is passionate about extracting business insights from large data sets. You will be leading and growing a team of like minded data engineers and software developers. You will be responsible for defining world-class technology, processes and team behaviours to deliver the next generation of business insights and data systems for our clients connected products and platform.

Our client is building world-class cross functional Agile teams and adopting the latest technology and techniques to ensure they can deliver their ambitious vision in the connected space. In order to gain pace and agility, they promote the empowerment of technical leads allowing them to make decisions to develop their team, ways of working and to sell their ideas and vision to the business.

Key Skills:

  • Experience of Leading cross functional teams of data engineers and developers.
  • Expert in data processing techniques and analytics with Strong SQL experience.
  • Evangelist for the business value of data and how to leverage it.
  • Proven track record of designing, building and maintaining scalable ETL data processing systems (Spark, Storm, DataTorrentRTS, GoogleBigQuery).
  • Proponent for software craftmanship, BDD and automated testing.
  • Strong ability to lead and coach happy teams to deliver quality at high velocity.
  • Skilled and passionate about Continuous Delivery, and cloud deployment automation.
  • Excellent and current programming skills in (Java, Python, Scala) – this is a hands-on coding role.
  • Experience of working in high performing agile teams with Scrum or Kanban.

Desirable skills:

  • Knowledge of AWS data tools (EMR, Redshift, Elasticsearch, Athena, Kinesis).
  • ML / AI experience with MapReduce, clustering and MLLib/Pandas.
  • Experience of M2M or IoT data applications.
  • Knowledge of data compliance regulations.

Key Duties:

  • Promote the value of leveraging data throughout the company.
  • Provide daily technical leadership and coaching to the team to allow them to become skilled at their craft and deliver high quality consistently.
  • With other technical leads, define and implement an evolutionary architecture which leverages latest AWS services to deliver fast, robust and secure data solutions.
  • Detailed design and code reviews to ensure consistency, quality and direction.
  • Working closely with Product Owners and Scrum Masters to define acceptance criteria and measure velocity.
  • Team design, recruitment and performance management.
  • Hands-on cutting code pairing with other members of the team, especially to spike new technologies, and to establish approaches and patterns.

Key Behaviours:

  • A strong leader, able to capture the teams imagination and motivate them to deliver well and enjoy their work.
  • Takes a breadth first approach to problem solving and encourages systems thinking.
  • Self-starter, able to take a team from concept through to production.
  • Good communicator and collaborator, able to simplify concepts for wider audiences.
  • Able to demonstrate a passion for data engineering with the ability to work cross-functionally.
  • Culturally sensitive and able to work across cultures and time zones.

Our client would love to talk to you about any personal or open source projects you might be working on, talks you may have given or articles you have written. If you have a profile on a website like Github, please send this along with your CV for consideration.