We're seeking a seasoned Analytics Engineer to join our Data Platform team at Secret Escapes.
This is a remote working patern opportunity based in Poland.
About Secret Escapes
Secret Escapes is one of the world’s leading members-only, online travel deals companies, offering inspiring travel experiences and hand-picked offers to over 60 million members worldwide. Operating in 10 countries across Europe, Secret Escapes continues to grow and establish itself as a world-class business, dedicated to giving our members the best range and value in luxury travel deals at low prices.
In keeping with being an inspirational travel brand, we also have a ‘Work from Anywhere’ policy, so you can work from anywhere in the world for up to a month each year!
We’re a diverse and inclusive bunch of individuals from different backgrounds and with varied interests, but the one thing we all have in common is that we’re good people (even if we do say so ourselves!).
The Team:
The data platform team is an enthusiastic group who are passionate about our profession. We are continuously maintaining our team culture via things like retros, weekly socials, open door mentality and cross profession knowledge sharing. We adopt a fail fast mentality that promotes a safe environment for our team to upskill comfortably. Our team make up reflects the company ethos of inclusion and diversity, we are made up of a collection of different people/genders/backgrounds, we celebrate our differences and have a continuous strive for more diversity. Ultimately we are a team and we work as one together as one, no individual is solely responsible for any area of our pipeline, our successes and failures are shared.
Secret Escapes adopt a buddy system where you will be assigned a buddy within the organisation that will be responsible for introducing you into what it is like to work here and offer a safe space to ask questions.
The Role:
As a Lead Analytics Engineer, you'll be responsible for managing and mentoring a small but impactful team of analytics engineers while also contributing directly to the design, development, and maintenance of our data infrastructure.
Things you will be working on:
- Analytics Engineering Representative: You will stand as the main representative of the Analytics Engineering team. This will include working with other tech leads, defining code practices, infrastructure/tooling choices and ways of working.
- Team Leadership: Managing and overseeing the work of two other analytics engineers, providing guidance, mentorship, and ensuring their professional development. You will also be parachuted into projects to support a data technical implementation lead.
- Data Modeling and Engineering: Designing, implementing, and optimising data models and pipelines to support various analytical use cases, including trading performance, customer behaviour, and room availability.
- BI Tool Integration: Collecting and creating requirements with our BI team to improve and develop our Tableau and dbt environments, developing schemas, aggregations, and data models.
- Data Quality and Governance: Ensuring data integrity, accuracy, and consistency throughout the data lifecycle.
- Stakeholder Management: Liaising with business stakeholders to understand their requirements and translate them into technical solutions. Work with other tech teams around the group to support data related projects.
- Innovation: Identifying opportunities to improve our analytical capabilities and processes, suggesting new ideas, and challenging the status quo.
Key Responsibilities:
Team Management:
- Provide technical leadership and guidance to fellow analytics engineers.
- Assign tasks, review work, and ensure deadlines are met.
- Foster a collaborative and supportive team environment.
- Data Modeling and Engineering: Develop and maintain data marts and analytical functions in Tableau and SQL.
- Strong understanding of business logic and how that is translated/accommodated for in our data transformations
- Build and optimise data pipelines to extract, transform, and load data into our data warehouse.
- Ensure data quality and consistency through appropriate validation and testing.
- Developing and maintaining our dbt infrastructure and strategy
- Supporting other tech leads also achieve their goals
Data Integration & Governance
- Collaborate with the teams around the business to integrate and configure BI tools.
- Develop schemas, aggregations, and data models to support BI reporting and analysis.
- Define and enforce data quality standards and guidelines.
- Implement data governance processes to ensure data integrity and security.
- Work closely with business stakeholders to understand their requirements and provide solutions.
- Communicate effectively with both technical and non-technical stakeholders.
Innovation:
- Stay up-to-date with industry trends and technologies.
- Identify opportunities to improve our analytical capabilities and processes.
- Suggest new ideas and solutions to address business challenges.
You will bring:
- Strong proficiency in SQL and data modelling techniques.
- Experience with data transformation tools (eg. dbt), best practices, environment management.
- Knowledge of BI tools (Tableau, Looker, PowerBI).
- Experience with data warehousing and ETL processes.
- Proficient with Python (experience with data packages such as Pandas, NumPy etc)
- Some experience with Airflow or comparable orchestration tools as well as with data governance and compliance frameworks.
- Some knowledge of cloud platforms (Snowflake, AWS, GCP, Azure).
And you are:
- Experienced in managing a team of data professionals.
- Excellent in communication and interpersonal skills.
- Strong with analytical and problem-solving abilities.
- Abile to work independently and as part of a team.
We are an equal opportunity employer
Diversity and inclusion are important to us at Secret Escapes and we encourage a culture where everyone can be themselves at work. We value and actively seek out a richly diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed. All applicants will be considered for employment without regard to any characteristic protected by law
