Job Description

Key Responsibilities:

• Local Line Management, Recruitment & Team Development: You will manage several multi-disciplinary data delivery teams consisting of Data & Analytics Engineers and Test Engineers with Data Scientists and Data Visualization specialists embedded as required.
• Data Delivery: You will be responsible for the delivery performance of your teams and will ensure key delivery metrics are closely monitored to allow you to best provide support where needed, communicate effectively on progress, and identify opportunities to improve and optimize our data delivery processes.
• Data Culture: You will drive a data-first culture both within the data team and across the business by supporting continual learning and development across your teams and data enablement activity across the wider business.
• Data Architecture & Solution Design: You will support continual improvement and optimization of our data architecture working closely with other data managers and our data architecture function to ensure we have a good understanding of emerging trends

Requirements:

• Communication: You should demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels up to and including C-level.
• Management: You should have prior experience managing a data team, ideally in a medium to large-scale organization.
• Agile Delivery: You should have experience working in an Agile delivery environment, ideally using Scrum andor Kanban. Any experience of scaled agile frameworks such as SAFe or DAD would also be beneficial.
• Technical: You should demonstrate strong proficiency in at least some of the following technical areas (cross-training and upskilling supported for the right individual where necessary)
+ SQL (mandatory): You should be able to demonstrate a strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms.
+ Cloud Platforms (mandatory): You should have experience working with key services on either GCP (preferred), AWS or Azure. Key services include cloud storage, containerization, event-driven services, orchestration, cloud functions and basic security/user management.
+ Data Warehousing (highly desirable): You should have experience working on a medium to large-scale data warehouse solution irrespective of underlying technology. Experience using cloud data warehouse technology would also be beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse.
+ Data Pipeline (highly desirable): Demonstrable experience working with data from a wide variety of data sources including different database platforms, flat files, API's and event-driven data feeds.
+ CICD & Automation (desirable): Any experience developing or supporting data CICD pipelines regardless of tooling would be beneficial. We use Microsoft Azure DevOps to run most of our CICD pipelines..
+ Data Visualization (desirable): Although we have dedicated data visualization specialists within the team, any knowledge of, or experience with, data visualization platforms such as Tableau (preferred), Power BI, Looker or Quick Sight would be beneficial.
+ Design and deliver scalable and reliable data products to support data consumers across Jet2.com and Jet2Holidays
+ Ingest, cleanse and transform data from a wide variety of source systems into our cloud data lake to support advanced analytics, data warehousing and data science

Technical Skills & Knowledge:

• Advanced SQL knowledge with experience using a wide variety of source systems including Microsoft SQL Server
• Experienced in Cloud Data Engineering on the Google Platform (experience of AWS and Azure also beneficial but delivery will be focused on GCP)
• Specific experience with the following services running on the GCP platform:
+ Google Cloud Storage (GCS)
+ Google Cloud Composer (or Apache Airflow) including development of DAG's
+ Google Kubernetes Engine (GKE) or equivalent experience working with containerization
+ Google Cloud Functions
• Experience working with Infrastructure as Code (IaC), specifically with Terraform (equivalent experience with similar technology also accepted)
• Experience of working in an Agile delivery team using automated build, deployment and testing (CICD, DevOps, DataOps)
• Experience with one or more programming language compatible with developing functionality on the above platform (Python o0r Java preferred)
• Expertise in working with and modelling both structured and unstructured data


Leadership & Organization Skills:

• Lead a team of data engineers working across multiple projects (Senior, Mid, Junior and Graduate level Data and Test Engineers)
• Set individual development goals, monitor, and manage performance, provide timely feedback and take responsibility for the professional development of team members
• Collaborate with a wider data team including Solution Architects, Specialists, Enterprise Architects, Data Scientists, Data Visualization Specialists, Analytics Engineers and Test Engineers


Qualification & Certification:

• B.E./B.Tech/ MTech in IT or Computer Science from a reputed institute (preferred) or Master's Degree in Quantitative Subjects e.g. Mathematics, Statistics & Economics
• Cloud Certification in GCP with the following being preferred (AWS, Azure certifications also beneficial)
+ Google Certified Cloud Architect
+ Google Certified Data Engineer
• Any certification or formal training in the following areas would also be highly beneficial:
+ Python
+ Snowflake Cloud Data Warehouse
+ dbt
+ Terraform