Data Engineering Lead- Conformed Data Warehouse - BI Developer
23h ago
source :

Our client has a Permanent Vacancy for a Data Engineering Lead- Conformed Data Warehouse - BI Developer Lead in the Digital and IT department situated in SamrandServes as the custodian for a specific Business Intelligence Development team and portfolio of solutions The Conformed Data Warehouse Team) on behalf of the Business Intelligence competency within the Data & Insights capabilityTHE SUCCESSFUL CANDIDATE MUST HAVE A BSc Computer / Data Science ORBCom Informatics orBEng Computer ORBSc Mathematics / Statistics DEGREE FROM ONE OF THE 6 LEADING UNIVERSITIES.

7+ years in Business Intelligence / Data Analytics / Data Science / Modelling / StatisticsProgramming and statistical computer languages (R, Python , SQL, etc.

Working knowledge of Business Intelligence principles & best practicesAccountable for the delivery of Business Intelligence solutions and Professional Services, support data warehouse and management of data quality, that will enable Imperial to make faster and more informed decisions based on insights generated from this capability.

It is expected that the Data Engineering Lead perform both individual technical work as well as facilitate, guide and provide oversight of team delivery, with a 40% / 60% split between individual technical delivery vs team delivery Support : Inform strategic and faster decision making through the availability of critical data sets, insights and modelling for D&IT and ImperialThe team to achieve joint targets and deliverablesReliable, On-Time, Efficient & Quality Delivery as per the chosen process & toolingMitigation plans are in place for work items that are not going to be delivered according to the estimated timelineInsights are always rigorously tested and approved before releasing to D&IT and ImperialFor both individual and team deliverables, ensure : Reliable, On-Time, Efficient & Quality Delivery as per the chosen process &Mitigation plans are in place for projects / programmes that are not delivering according to the estimated timelineInsights are always rigorously tested and approved before releasing to D&IT and Imperial People & Culture : Provide hands on leadership (people & technical) to the teamProvide oversight & support of seconded resources embedded into businesses across the groupEnsure Team wellbeingBuild and maintain a healthy working relationship within the teamShape and enforce team culture & normsDrive continuous knowledge sharing initiativesDrive continuous improvement initiativesProcess and delivery : Be the Team Lead for a team of Business Intelligence Developers : Help manage team performance as part of The team must reliably deliver on sprint backlogHelp ensure team efficiency through accurate work estimates and completion against estimates as per sprint planHelp manage technical work allocation per Facilitate Sprint planning 2 : How to solve problemsHelp ensure quality of teamHelp ensure process & tooling adoption and utilizationHelp ensure the technical competence of the Team Technology and standards (Where applicable) : Define, document and communicate design patternsEnsure the definition, documentation and communication of solution designs before implementationEnsure as-built documentation is done according to standards, and is continuously updated to ensure accuracyEnsure that solutions are measured against the Definition of DoneEnsure the WIKI is periodically reviewed and updated for content correctness and structureEnforce source code management practicesEnforce quality assurance practicesAdhere to : all corporate governance, processes, procedures and statuary, legal and other requirementsBehavioural Competencies Entrepreneurial and Commercial Thinking Persuading and InfluencingDeciding and Initiating Action Leading and SupervisingAdapting and Responding to Change Coping with Pressures and Setbacks Presenting and Communicating Information Relating and NetworkingAdhering to Principles and Values Technical Competencies Excellent analytical and problem-solving skills Resource and people managementStrong communication skills Strong relationship building skillsExcellent planning, time management and organisational skills High level knowledge or awareness of statistical modelling and data mining techniques i.

e. Regression, Random Forest , Boosting, Trees, text mining, social network analysis etc.Querying databases using statistical computer languages i.

e. R, Python, SQL, etc. Knowledge of machine learning algorithms

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