Initial Description This is an incredible opportunity to join a growing and highly talented Business Intelligence team. You will be responsible for delivering and maintaining business critical reporting systems across the Protein Works including marketing, trading, operations and finance. You will have a strong understanding and appreciation of data engineering concepts and how to apply them using the Google Cloud Platform. You will possess an unwavering passion for data and how it can improve business performance.
The role: Data Engineer Immediate Responsibilities Managing and delivering end to end BI reporting projects from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization Undertaking ad hoc BI tasks based on business requirements and priorities As part of the BI team you will be responsible for the day to day maintenance and enhancement of the data quality, security and performance of the Data Lake/Warehouse Assisting your Data Analyst colleagues to generate impactful business insights and analysis Support the Senior Data Engineer in managing the BI ticket system to ensure tasks are resolved in a timely and effective manner You'll Naturally Be Like This… Possess a "can-do" attitude Highly enthusiastic with a drive to improve and develop new ways of working Ability to clearly communicate complex topics in simple terms, to a variety of audiences Avid self-learner & share knowledge across the business Highly motivated self-starter Place a high value on delivering business impact Positively impatient Great at building positive, productive collaborations and teams Excellent interpersonal skills Non-Negotiables Demonstrable data engineering experience with an enterprise data warehouse platform Extremely strong SQL skills Significant API experience Experience with visualization tools e.g Data Studio, Tableau, Power BI Ability to gather requirements from stakeholders across the business and turn into actual deliverables Solid spreadsheet experience: Excel & Google Sheets Highly numerate, logical and analytical Highly organised and excellent verbal and written skills Ability to multi-task and deliver to deadlines Excellent relationship building skills and ability to influence at various levels Well-organised, with an eye for detail in everything you do Desirables Bachelor's degree in computer science or related field Experience with the Google Cloud Platform/Data Stack including: BigQuery Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP's serverless technologies e.g. Cloud Run/Workflows Understanding of Google's marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex