Senior devops engineer Work, Jobs in Wetherby, Wyk (with Salaries)

Lead Data & Analytics Engineer
Jet2.com and Jet2holidays —Leeds
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
9d
Principal Software Engineer
Flutter Entertainment —Leeds
- Full-time
- Hybrid work
- AWS
- Communication skills
- Gym membership
Principal Full Stack Engineer
Burendo —Leeds
- Full-time
- Hybrid work
- Azure
- Java
- SQL
- Annual leave
- Employee assistance programme
Quick apply
Junior Full Stack Software Engineer
Informed Solutions —Leeds
- Hybrid work
- Azure
- Java
- AWS
- Gym membership
- Referral programme
Quick apply

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Lead Data & Analytics Engineer

Jet2.com and Jet2holidays -
Leeds

Apply Now

Job details

Permanent | Full-time
9 days ago

Qualifications

Azure
Kanban
Google Cloud Platform
SQL
AWS
Scrum
APIs
Agile
Root cause analysis
Redshift
Leadership
Communication skills
Data warehouse
Python

Full job description

Permanent

40 Hours

Salary

Excellent

Country

U.K

What you will be doing...

At Jet2.com 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.
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.

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.

As our Lead Data & Analytics Engineer, you’ll have access to a wide range of benefits including:

Mostly remote working, with one day per month in our Leeds Holiday House
Annual pay reviews
A generous discretionary profit‑share scheme
The opportunity to shape analytics engineering delivery and standards at scale

What you’ll be doing:

Your primary focus is solutions delivery and team effectiveness, ensuring analytics engineering outcomes are delivered predictably, safely, and to a high standard.
Leading the delivery of analytics‑ready data solutions, with a strong focus on quality, reliability, and fitness for purpose primarily across Silver and Gold data layers
Developing and leading a high‑performing analytics engineering team, setting clear expectations around capability, standards, quality, delivery discipline, and professional growth
Providing hands‑on technical leadership through risk‑based mentoring, design support, and code reviews, ensuring complex changes are implemented safely and consistently
Maintaining a keen eye on detail across analytics transformations, identifying delivery risks early and taking action to address them
Ensuring analytics engineering best practices are followed, including testing, documentation, deployment discipline, and operational readiness
Working closely with solution and data architects to ensure platform and ingestion decisions support downstream analytics requirements
Collaborating 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 central
Acting as the escalation point for production analytics data assets, supporting issue resolution, root cause analysis, and continuous improvement
Supporting recruitment, onboarding, and ongoing development of analytics and data engineers
Helping drive a data‑first culture, promoting shared ownership, learning, and continuous improvement across the data community

What you’ll have:

Essential experience:

Strong background in analytics engineering, with experience delivering complex transformations using SQL‑first approaches, ideally with dbt
Delivery‑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) layers
Advanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformations
Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse
Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration
Demonstrable experience leading and developing engineers, supporting capability growth, motivation, and consistent delivery standards
Experience working in an Agile delivery environment (Scrum and/or Kanban), with strong stakeholder communication skills

Desirable:

Experience overseeing or supporting data ingestion pipelines, including APIs and event‑driven data sources
Familiarity with orchestration tools such as Airflow and modern ELT architectures
Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently use Azure DevOps
Working knowledge of Python for analytics engineering or enablement purposes
A strong interest in data quality, observability, and operational excellence

This is a leadership role for someone who wants to:

Lead a high‑performing analytics engineering team, not just manage one
Own solutions delivery, balancing pace with quality and risk management
Stay technically credible through design input, reviews, and mentoring
Influence how analytics data is built, trusted, and operated at scale
Work with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python

Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!

#LI-Hybrid

Division

Jet2.com

Careers With Us

Digital & IT

Careers Dept

Data Team

Careers Team

Data Engineering & Analytics

Team

IT Systems & Web Development

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