At a Glance
- Tasks: Design and build data pipelines, collaborate with teams, and optimise data solutions.
- Company: Join Travel Chapter, a leading holiday home company with a strong family ethos.
- Benefits: Enjoy 25 days holiday, birthday leave, volunteer day, and social clubs.
- Why this job: Be part of a data-led team that values collaboration and innovation in a supportive culture.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with Snowflake and Python.
- Other info: Flexible working hours and a commitment to diversity and inclusion.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Senior Data Engineer (Snowflake) role at Travel Chapter
Employment Type: 12 month FTC | Hours of Work: Monday- Friday, 9am-5.30pm (flexible) | Location: Bideford, Hybrid
Overview
We are looking for an experienced senior data engineer to join our growing Data Team. You’ll be working on exciting projects to take the business to the next level with building out the data held within our data warehouse. You will be involved in designing, building, testing and operating data transformations, working closely with colleagues within the product engineering team and other departments. The Travel Chapter is a data-led business, and the work that you carry out will enable Travel Chapter to provide staff, clients and owners a great experience when using our systems.
Responsibilities
- Develop and maintain data pipelines and ETL processes to integrate and transform diverse data sources into a unified data model.
- Design and implement data models and database schemas to store and manage large volumes of structured and unstructured data.
- Collaborate with people across the business, including product managers and developers, to define data requirements and understand data usage patterns.
- Optimise data solutions by leveraging techniques such as partitioning, indexing, and caching.
- Assist in troubleshooting production issues to resolution, ensuring that measures are put in place where possible to stop recurrence.
- Provide out-of-hours support as required in line with the organisation SLAs.
- Mentor and provide technical guidance to junior data developers and engineers.
- Develop and maintain data quality assurance processes to verify the accuracy, completeness, and consistency of the data.
- Stay updated with the latest industry practices and technologies.
Knowledge, skills and experience
Essential
- Minimum 5 years of working experience in data engineering.
- An excellent understanding of databases and SQL.
- Possess excellent written and oral communication skills.
- Commercial experience of: Data warehousing, Snowflake, Python, SQL, JSON, XML, MySQL, MSSQL Server, AWS Glue, understanding of testing strategies, understanding of Agile methodologies.
Desirable
- Experience of ELT tools like Fivetran / Kleene / DBT
- Experience using source code management tools (ideally Git)
- PHP
- Experience with Salesforce Data Models
- Experience in the travel industry
What’s in it for you?
We believe in taking care of our team. As well as joining a rapidly growing company with a good culture and opportunities for employee development, we provide competitive salaries and a range of benefits, including:
- 25 days’ paid holidays plus bank holidays
- A special day off for your or a loved one’s birthday
- £500 paid towards a holiday of your choice
- A paid day to volunteer with a charity close to your heart
- A friends and family discount scheme
- Life assurance for your peace of mind
- Social clubs for pet lovers, fitness enthusiasts, gardeners, sustainability champions, nutrition enthusiasts and more
- Exciting social events, including our famous Christmas parties!
Who are we?
We’re Travel Chapter – the holiday home people – and we’re on a mission to showcase great places to stay in the UK. While we’ve grown over the years from a small South West holiday letting agency to one of the market leaders in the industry, we’ve never lost sight of our strong family ethos, and we keep the same values at the heart of everything we do. Along the way, we’ve nurtured a caring and collaborative culture that drives us forward and keeps our team inspired and motivated every day. Highlighted by our place on the Sunday Times Best Places to Work 2024 list, the people behind our company are at the heart of everything we do and it’s a place where everyone is welcome; a place that’s friendly and fair; a place that encourages people to be bold, explore new ideas and push the boundaries of what they do every single day. We are passionate about what we do, and we take a common-sense approach to getting things done. Diversity is key to our success, and we work hard to make sure we’re inclusive. Let us know if you need any adjustments made to the application or selection process so you can do your best. We’ll be happy to help.
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Senior Data Engineer (Snowflake) employer: Travel Chapter
Contact Detail:
Travel Chapter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Snowflake)
✨Tip Number 1
Familiarise yourself with Snowflake and its features, as this role specifically requires expertise in this area. Consider exploring online resources or tutorials that focus on Snowflake's data warehousing capabilities to enhance your understanding.
✨Tip Number 2
Network with current or former employees of Travel Chapter on platforms like LinkedIn. Engaging with them can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your SQL skills, as a strong command of SQL is essential for this position. You might want to practice writing complex queries and optimising database performance to demonstrate your proficiency.
✨Tip Number 4
Prepare to discuss your experience with data pipelines and ETL processes in detail. Be ready to share specific examples of projects you've worked on, highlighting your problem-solving skills and how you've collaborated with cross-functional teams.
We think you need these skills to ace Senior Data Engineer (Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Snowflake and SQL. Use specific examples of projects you've worked on that align with the responsibilities listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the travel industry. Mention how your skills can contribute to the Travel Chapter's mission and culture.
Showcase Technical Skills: In your application, emphasise your technical skills, especially in data warehousing, ETL processes, and any experience with tools like AWS Glue or ELT tools. Be specific about your proficiency levels and any relevant certifications.
Highlight Collaboration Experience: Since the role involves working closely with product managers and developers, include examples of past collaborations. Describe how you effectively communicated and defined data requirements in previous roles.
How to prepare for a job interview at Travel Chapter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, particularly with Snowflake, SQL, and Python. Bring examples of past projects where you've designed and implemented data pipelines or ETL processes, as this will demonstrate your hands-on expertise.
✨Understand the Company Culture
Research Travel Chapter's values and culture before the interview. They emphasise collaboration and a caring environment, so be ready to discuss how you can contribute to their team spirit and align with their mission.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially regarding troubleshooting production issues. Think of specific scenarios where you've successfully resolved challenges in data management and how you ensured data quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the current projects the Data Team is working on and how they collaborate with other departments. This shows your genuine interest in the position and the company.