Data Analytics Engineer Manager

Key Skills

Apache Hadoop, Apache Kafka, Dask - Python library, Data Analysis, Flax Programming Language, MongoDB, Networking technologies, Oracle, Software Testing, Spark Core

Job Description

Key responsibilities include:

• Work closely with Data Science and business partners requiring subject matter expertise in the business as well as advanced analytics. 
• Lead a cross-functional team to implement analytic solutions that address business challenges across a variety of business units
• Manage, coach and inspire a team of high-performing data analytics engineers
• Be a key leader in building a discipline of exceptional data analytics engineers
• Help hire, develop and retain talented Data Analytics Engineers
• Participate in requirement development, breaking down business problems into solvable components and assists in documenting requirements   
• Participates in developing test plans and scripts, preparation of test data, reconciliation of data sources, and execution of functional tests.  
• Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision  
• Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints  
• Leverage “agile” data analysis with technology fluency in parallel processing/programming, software/programming languages and technologies (i.e. Oracle, MongoDB, SQL, Python, Spark, Kafka, Scala and Hadoop) paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space. 
• Provide input on the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data. Participate in supporting the data engineering environment, and execute monitoring, quality and validation processes to ensure data accuracy.  
• Execute data exploration, data engineering, testing and implementation.  
• Participate in and help execute the development of new concepts, proof of concept designs, and prototypes for business or research data solutions so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation.  
• Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.  

So, what are the essential criteria to apply?

• All candidates must evidence an existing right to work in the UK
• 4+ years’ experience in a related field developing sophisticated big data pipelines in support of machine learning and advance analytics in industry or postgraduate experience. 
• Demonstrated experience leading technical projects. 
• Demonstrated experience coaching technical individuals

We also have some desirable criteria

• Distributed computing or big data frameworks such as Spark, Mesos, Hadoop, AWS, Scality, etc. 
• Programming in Python, Scala, Java or C/C++ 
• Working with structured relational databases and writing queries (e.g. SQL), nested data structures, stream processed data, or unstructured data 
• Machine learning or statistics to solve real-world problems 
• Conducting data analytics and root cause analysis to answer business questions and identify opportunities for improvement 
• Leading & managing teams of technical individuals  
• A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2:1 or higher (or equivalent