Senior Data Engineer (ML & Data Ops)

TrustedHousesitters is a global pet care travel exchange; a double sided digital marketplace of owners and sitters that’s growing rapidly through our unique combination of product, proposition, marketing and community building.

We've just recently been named as one of the Escape the City's top organisations to work for 2023! Also joining the 2024 edition of the Future Fifty program. 

Our small but mighty team has a collaborative and supportive culture. We’re passionate about pets, people and travel; continuously searching for the win, win, win that makes everyone’s lives easier, travel kinder on the pet and enables a more sustainable travel footprint.

We're fully in scale-up mode and have grown to be the only global platform of its kind. In the last few years, we’ve consistently achieved high year-on-year growth. Thanks to strong tailwinds in the pet and travel industry in the post-Covid world, 2022 has been our strongest year so far. At our marketplace we facilitate the perfect match between pet owners who want to leave their pets in safe hands and pet sitters looking to enjoy the companionship of pets whilst they travel. 

We've recently made the transition to a remote-first business, however we've retained a HQ in central Brighton which is available for collaborative working and in-person meet-ups.

About the Role

Are you a data engineering virtuoso passionate about both machine learning and building robust data pipelines? Do you thrive in bridging the gap between data, machine learning models and analysis? Then we have the perfect role for you! 

We're seeking a talented Staff Data Engineer to join our dynamic team. You'll play a pivotal role in designing, developing, and implementing solutions that seamlessly integrate our platform data with both machine learning models and our wider data infrastructure.

• Degree in Computer Science, Data Science, or a related field (or equivalent experience)
• 5+ years of experience as a Data Engineer with a proven track record in building complex data pipelines within an AWS environment
• Experience with IaC tools to deploy and maintain infrastructure (e.g. Pulumi, Terraform)
• Some knowledge of machine learning concepts and familiarity with common ML algorithms
• Experience with CI/CD tools (e.g. CircleCI, Github, CI/CD) and containerization technologies (e.g. Docker, ECS)
• Experience with cloud platforms (e.g. AWS, Azure, GCP) are additional benefits
• Strong programming skills (e.g. Python, SQL)
• Excellent communication and participation skills
• Ability to work independently and manage multiple priorities effectively.

• DataOps Expertise:

• Design, build, and maintain scalable, secure, and reliable data pipelines for general data processing and analytics needs
• Implement CI/CD pipelines for data processing workflows
• Ensure data quality and consistency throughout the entire data processing lifecycle
• Develop and implement monitoring and logging solutions to track data pipeline health
• Advocate for data governance best practices and ensure compliance with relevant regulations

• Machine Learning Focus:

• Collaborate with data scientists and engineers to understand their model needs and design efficient data pipelines for training, validation, and deployment
• Develop and implement automated workflows for model training, hyper-parameter tuning and performance logging
• Integrate MLOps tools (e.g. MLflow) to facilitate model versioning, lineage tracking, and experiment management
• Champion best practices for responsible AI, including fairness, bias detection, and explainability considerations

• Leadership and Mentorship:

• Mentor and guide engineers, data scientists and analysts on best practices for machine learning and data operations
• Stay up-to-date on the latest advancements in both MLOps and data engineering and evaluate their potential for improving our workflows
• Lead by example and foster a collaborative environment within the data and engineering teams.

Benefits

In addition to a competitive salary and bonus, we offer a range of benefits, including:

Fully remote work

Discretionary 10% annual bonus scheme

Generous equity options

25 days holiday annually plus bank holidays and Christmas to New Year closure

Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters

Premium TrustedHousesitters pet owner and sitter membership. This includes benefits like airport lounge passes, sit cancellation insurance, and home and contents insurance for sits for you

X5 premium memberships for your friends and family each year

Our team have an unlimited housesitting allowance, can work remotely from their sits, and are eligible to £500 per year towards travel costs

£200 annually towards home office equipment

Access to Spaces (co-working) Locations across the globe

Monthly working from home stipend

Macbook

Find a rescue pet to join your family and we’ll cover the adoption fees, as well as paternity to help any pet settle into their new home.

We host a quarterly all-expenses paid meet-up and will fund team events (remote or in person) throughout the year

We can cover costs of personal development resources, and have a regular time set aside for personal development

Bupa Health Insurance and Dental Insurance plan

SimplyHealth Healthcare Cash plan

Trusted Giving scheme - employee volunteering via Onhand and employee giving via Tyve

Weekly virtual yoga sessions

Brighton Bikeshare

Recruitment Referral Bonus

If you're ready to join us on our mission to become the most loved pet travel solution, we'd love to hear from you!

In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc).

At the heart of our team are a mix of diverse backgrounds. Here at TrustedHousesitters, we’re committed to the equal opportunities policy throughout the interview process and selection. Offers of employment into TrustedHousesitters are based solely on individual merit, qualifications, and the person's professional suitability.

Gender identity, sexual orientation, marital or civil partnership status, colour, race, nationality, ethnic or national origins, religion or beliefs, age, mental or physical disability, medical condition, pregnancy or maternity status, or any other protected characteristics do not enter into our decision-making process.

If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. person's professional suitability.