Data Analytics Engineer II in Manchester

Data Analytics Engineer II in Manchester

Manchester Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
Booking Holdings, Inc.

At a Glance

  • Tasks: Transform complex data into actionable insights and build reliable data products.
  • Company: Join Booking.com, a leader in travel tech with a vibrant culture.
  • Benefits: Enjoy competitive pay, flexible working, and unique travel discounts.
  • Why this job: Make a real impact on travel experiences through innovative data solutions.
  • Qualifications: 3+ years in data or software, strong analytical and communication skills.
  • Other info: Diverse and inclusive workplace with excellent growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than just datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journey you take. The sights you see and the food you sample. Through our products, partners and people, we can empower everyone to experience the world.

The Data team’s responsibilities include data platforms, warehousing, enrichment and machine learning functionality, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. You will be responsible for delivering products that advance data excellence and innovation within your product team, and across the business, helping us shape Booking.com’s data journey.

Responsibilities

As a Data Analytics Engineer II, you are independent in:

  • Driving the implementation of reliable and well‑trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
  • Producing curated, reusable analytical data products to enable self‑serve analytics for many internal customers across departments.
  • Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.
  • Transforming large, complex data sets into pragmatic, actionable insights and providing them in a consumable format for historical or predictive analysis.
  • Performing Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.
  • Building data visualizations to trial/validate data products you build before releasing to consumers.
  • Maintaining and tuning data pipeline health, including troubleshooting issues, implementing data quality controls, monitoring performance, and proactively addressing issues and risks.
  • Building data pipelines end to end.
  • Leading the technical resolution of problems, and communicating them to both technical and non‑technical audiences.
  • Supporting product teams in defining the Data Architecture for their domains, from conceptual to physical modeling in the Data Warehouse.
Experience

As a Data Analytics Engineer II, you have experience in:

  • Entering a new area, owning the quality of the data, and working with product owners and scientists to develop the analytics backlog.
  • Working alone and self‑steering initiatives, defining and breaking down work for more junior members of the team.
  • Driving the culture across the business unit for data quality and data governance and its best practices.
  • Actively contributing to the growth of the Data Engineering community at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.

Minimum of 3 years of experience in a data or software adjacent field, working with systems and data infrastructure at scale.

Technical Focus

As a Data Analytics Engineer II, you are independent in:

  • Designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies.
  • Working with ETL/ELT tools and methodologies.
  • Working with workflow management and scheduling tools such as Apache Airflow or Argo.
  • Working with relational databases and any flavour of SQL in an analytical context.
  • Building data exploration/visualization and designing data storytelling.
  • Excellent communication (written and spoken) and stakeholder management.
  • Writing and maintaining high‑quality and reusable code, applying design patterns and meeting coding standards.
Benefits

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique‑to‑Booking.com benefits which include:

  • Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.
Inclusion

Inclusion at Booking.com: Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process

This section should provide: Let’s go places together: How we Hire If applicable: Detailed instructions on post‑application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department. This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Data Analytics Engineer II in Manchester employer: Booking Holdings, Inc.

At Booking.com, we pride ourselves on being an exceptional employer that champions innovation and inclusivity. Our vibrant work culture fosters collaboration and personal growth, offering unique benefits such as flexible working arrangements and industry-leading product discounts. Join us in Amsterdam, where you can make a meaningful impact in the travel tech space while enjoying a diverse and supportive environment.
Booking Holdings, Inc.

Contact Detail:

Booking Holdings, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analytics Engineer II in Manchester

✨Tip Number 1

Network like a pro! Reach out to current employees at Booking.com on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analytics Engineer II role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss data warehousing methodologies, ETL processes, and SQL. We want to see how you can turn complex data into actionable insights!

✨Tip Number 3

Showcase your problem-solving skills during the interview. Be ready to share examples of how you've tackled data quality issues or improved data governance in past roles. We love candidates who can think on their feet!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Booking.com team. Let’s get you on board!

We think you need these skills to ace Data Analytics Engineer II in Manchester

Data Warehousing
Data Vault
Dimensional Modeling
ETL/ELT Tools
Apache Airflow
SQL
Data Governance
Data Quality Monitoring
Data Visualization
Analytical Skills
Communication Skills
Stakeholder Management
Problem-Solving Skills
Technical Stewardship
Coding Standards

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to drive decisions or improve processes in your previous roles. We love seeing candidates who are genuinely excited about the impact of data.

Tailor Your Application: Make sure to customise your application to reflect the job description. Highlight your experience with data warehousing methodologies and any relevant tools you've used. This shows us that you understand what we're looking for and that you're a great fit for the role.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate candidates who can communicate complex ideas simply, as this is key in our collaborative environment.

Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at Booking Holdings, Inc.

✨Know Your Data Inside Out

Before the interview, dive deep into your past projects involving data analytics. Be ready to discuss specific metrics you've implemented and how they impacted business decisions. This shows you not only understand data but can also translate it into actionable insights.

✨Master the Technical Skills

Brush up on your knowledge of Data Warehousing methodologies like Data Vault and Dimensional modelling. Be prepared to answer technical questions about ETL/ELT processes and SQL queries. Demonstrating your technical prowess will give you an edge in the interview.

✨Showcase Your Problem-Solving Skills

Think of examples where you've tackled complex data issues or improved data quality. Be ready to explain your thought process and the steps you took to resolve these challenges. This will highlight your ability to lead technical resolutions effectively.

✨Communicate Clearly and Confidently

Since you'll be working with both technical and non-technical teams, practice explaining your work in simple terms. Use clear examples to illustrate your points. Good communication is key, so make sure you convey your ideas confidently during the interview.

Data Analytics Engineer II in Manchester
Booking Holdings, Inc.
Location: Manchester

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