Lead Data & Analytics Engineer
hace 5 días
Leeds
Job Description \n hackajob is collaborating with to connect them with exceptional professionals for this role. \n In order to make an application, simply read through the following job description and make sure to attach relevant documents. \n At and Jet2Holidays, we're here to deliver amazing journeys – literally. Everything we do is guided by a Customer First mindset, creating unforgettable holidays and flights. Trusted, high‐quality data is critical to this, and we're looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high‐performing analytics engineering team. \n This role is analytics engineering led, with responsibility for ensuring the Silver and Gold layers of the platform are delivered to a consistently high standard, are reliable in production, and meet business needs. \n You'll work closely with architects, product and delivery partners, and senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively. \n As our Lead Data & Analytics Engineer, you'll have access to a wide range of benefits including: \n\n • Mostly remote working, with one day per month in our Leeds Holiday House\nAnnual pay reviewsA generous discretionary profit‐share schemeThe opportunity to shape analytics engineering delivery and standards at scale\n What you'll be doing: \n\n • Your primary focus is solutions delivery and team effectiveness, ensuring analytics engineering outcomes are delivered predictably, safely, and to a high standard.\nLeading the delivery of analytics‐ready data solutions, with a strong focus on quality, reliability, and fitness for purpose primarily across Silver and Gold data layersDeveloping and leading a high‐performing analytics engineering team, setting clear expectations around capability, standards, quality, delivery discipline, and professional growthProviding hands‐on technical leadership through risk‐based mentoring, design support, and code reviews, ensuring complex changes are implemented safely and consistentlyMaintaining a keen eye on detail across analytics transformations, identifying delivery risks early and taking action to address themEnsuring analytics engineering best practices are followed, including testing, documentation, deployment discipline, and operational readinessWorking closely with solution and data architects to ensure platform and ingestion decisions support downstream analytics requirementsCollaborating with data engineering teams on ingestion and orchestration from a range of sources (databases, flat files, APIs, and event‐driven feeds), while keeping analytics outcomes centralActing as the escalation point for production analytics data assets, supporting issue resolution, root cause analysis, and continuous improvementSupporting recruitment, onboarding, and ongoing development of analytics and data engineersHelping drive a data‐first culture, promoting shared ownership, learning, and continuous improvement across the data community\n What you'll have: \n Essential experience: \n\n • Strong background in analytics engineering, with experience delivering complex transformations using SQL‐first approaches, ideally with dbt\nDelivery‐focused analytics engineering leader who combines technical depth, attention to detail, and people leadership.Proven experience understanding, reviewing, and guiding implementation of complex data models across staging (Silver) and warehouse/data‐mart (Gold) layersAdvanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformationsExperience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or SynapseExperience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestrationDemonstrable experience leading and developing engineers, supporting capability growth, motivation, and consistent delivery standardsExperience working in an Agile delivery environment (Scrum and/or Kanban), with strong stakeholder communication skills\n Desirable: \n\n • Experience overseeing or supporting data ingestion pipelines, including APIs and event‐driven data sources\nFamiliarity with orchestration tools such as Airflow and modern ELT architecturesExperience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently use Azure DevOpsWorking knowledge of Python for analytics engineering or enablement purposesA strong interest in data quality, observability, and operational excellence\n This is a leadership role for someone who wants to: \n\n • Lead a high‐performing analytics engineering team, not just manage one\nOwn solutions delivery, balancing pace with quality and risk managementStay technically credible through design input, reviews, and mentoringInfluence how analytics data is built, trusted, and operated at scaleWork with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python\n Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. xohmjla Apply today and let your career take flight! \n #LI-Hybrid