Senior Manager, Head of Data Engineering

Senior Manager Head ofData Engineering

Vanguard

Manchester

Make investing available to all through world-class technology.

We never stop working to make investing simpler and more successful for our clients. Vanguard is digital-first company that relies on technology to effectively serve our 30 million clients across the world and our 18000 internal crew. We believe in relentless client focus doing good for our communities and focusing on long term success for our employees.

If you want to be on the frontline of changing the financial services industry have a deep passion for analytics and technology and love working with diverse & motivated colleagues thenwerelooking for you to join our team.

About theHead ofData EngineeringforCDAOEurope

Youwill leadtwofull stackteamsof DataDataOps&MLOpsEngineersbuildingstoragetransformationand analytical solutions with the Data & Analytics team.Youwill be working with an experienced team to support data engineers data scientists data analysts business users machine learning & AI engineers in implementing data pipelines and high-qualityproductionisationofETL/ELT pipelines andcomplex models.We are modernizing our data foundations to support the AI-drivenfutureandyouwill workwith partnersacross Vanguard Europe todeliver our AI-ready data strategydesigningand implementingour future data technology stack to support Vanguard Europes ambitious goals.

In return we offer an attractive base salary annual performance bonus paid in January Partnership bonus paid in June and competitive benefits. At Vanguard we work Monday toFridayand our staff in most roles work in the office on TuesdaysWednesdaysand Thursdays with Mondays and Fridays working from home.As one of the worlds largest asset management firms Vanguard can offer unrivalled career opportunities in Manchester the UK and further afield.

About CDAOEurope

You will bekeypartoftheEuropeData & Analyticsleadershipteam and will play a significant role in delivering and implementing solutions acrossVanguardEurope.We are a cloud native technology and data team mostlyleveragingAWSsourcingdata from internal and external systems to drive business decisions and direction.You willalsohave the opportunity towork withinthebroaderenterprisedata and analyticsorganizationbringingthe best back toEuropeand contributing to global best practice.

Core Responsibilities

• Partners with internal and external clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business and external vendors to implement data solutions.

• Hires evaluates and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards reviews performance and makes informed compensation decisionsin accordance withall applicable Human Resources policies and procedures.

• Manages andoptimizesthe automation of key ETL (Extract / Transform / Load) and quality assurance processes for large volumes of data.

• Consults with department or function heads on the implementation transition and operating plans. Executes and adjusts plans for team of Data Engineers. Develops a clear understanding of Data Analytics and Management work across Vanguard businesses and how they connect.

• Manages the planning prioritization and execution of data production projects and processes.

• Manages and troubleshoots the design and development of software and processes to support large scale efficient data pipelines. Integrates complex andlarge scaledata from a variety of sources for business partners to generate insight and make decisions. Supports dashboarding efforts data science and engagement projects and production support as needed.

• Translates business specifications into design specifications and code. Responsible for writing complex programs ad hoc queries and reports. Ensures that all code is well structured includes sufficient documentation and is easy tomaintainand reuse.

• Develops and exercises cross-functional data delivery to support business needs. Manages data integrity and quality standards.

• Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributesexpertiseto other data expert teams across Vanguard.

• Participates in special projects and performs other duties as assigned.

Qualificationswerelooking for:

• Strong people leadership experience (teams with more than five people would beadvantageous)

• Strong Data/DataOpsEngineering experience

• Experience in medium to large business that consumelarge amountsof data

• Excellent communicationandstorytellingskills;Ability to articulate complexproblemsinasimplemanner.

• First-handexperience with Python/Pysparkinbuildingend-to-end data pipelines

• Understanding DBA concepts; Prior experience working in/with DevOps or Data Engineers teams; Comfortable with DevOps/SRE thinking.

• Knowledge and experience in designing implementingdeployingand configuringAWSresources;

• Experience with SCRUM-Agilemindset andimplementation tools such as Jira Azure DevOps

• DataLake Lakehouse &EDW methodologies; Data analysis data modelling data integration datawarehousingand database design;AWSStack

• Understanding of GIT post/pre-scriptingand CI/CD workflow under TDD usingJira/Azure DevOps

• Support multiple environments (Dev UAT Prod) and a strong understanding of SDLC concepts.

• Degree qualified in a relevant commercialanalyticalor mathematical discipline or equivalent experience

Beneficial but not required skills:

• Knowledge of traditional ETL/ELTprocessand tools (Informatica Talend SSISAlteryx..)

• Experience working with vendor/3rdparty data providers

• Experience in multiple database technologiesincluding:Distributed Processing (such as Spark Hadoop EMR) Traditional RDBMS (such as MS SQL Server Oracle MySQL PostgreSQL) MPP (such asDatabricksAWS RedshiftMS Fabric LakehouseTeradata Snowflake Greenplum Synapse) NoSQL (such as DynamoDB;Strong understanding of CDC/CT/Deltas mechanisms.

• Tableauand/orPowerBIexposure

• Understanding of theFinancial Servicesindustry preferably with applicable experience