About Remote
Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.
Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.
All of our positions are fully remote. You do not have to relocate to join us!
What this job can offer you
This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Analytics Engineers, Data Analysts, and Data Engineers spread across 10+ countries. Throughout the team, we’re focused on driving business value through impactful decision-making and building a data platform that truly serves every part of the Remote business.
2024 is a transformative year for us where we’re laying the foundations for scalable company growth. We’re striving to enhance our analytics capabilities through modern data practices and a focus on data modeling, data quality, and efficient workflows. If you’re passionate about using data to create value, enjoy collaborating on challenging problems, and care about creating solid, maintainable models, this team could be a great fit for you. We use a variety of modern analytics tools on the AWS platform, including dbt and Snowflake
The position
We are seeking a motivated and experienced Team Lead to join our Analytics Engineering team. This person will be responsible for overseeing and mentoring a group of ~3-5 analytics engineers, ensuring the delivery of of robust, high-quality data models and analytical solutions.
How we work
We love working async and this means you get to do your own schedule. We empower ownership and proactivity and when in doubt default to action instead of waiting.
What you bring
- Strong experience with analytics engineering tooling including SQL, dbt, data warehouses (e.g. Snowflake) and BI tools (e.g. Looker, Metabase)
- Experience leading a team of 2+ engineers, with a background as an analytics engineer or in a similar technical role.
- Demonstrated experience in data modeling, managing data quality, and ensuring efficient data pipeline practices
- Strong communication skills and stakeholder management capabilities
- Inspires others, instills confidence, and good comprehension of team dynamics, coaching and mentoring
- Great communication, project management skills and ability to lead technical discussions
- Strong ability to work independently and self-guided, and comfortable with ambiguity
- Curiosity and willingness to learn and develop
- Writes and speaks fluent English
What this job can offer you
- Leading a distributed team of engineers, providing regular feedback, coaching and mentoring
- Working closely with Data Leadership and stakeholders on defining, prioritising and delivering our roadmap
- Building relationships with stakeholders to best support their needs, and ensuring we deliver impactful work in a timely manner
- Active contribution to developing and delivering engineering solutions, either through direct work or technical guidance
- Opportunity to have a significant impact on the business — we are still very early in our journey as a company and the impact data can have on company growth
- A lot of freedom to organize your work and life — you are not bound to daily standups or other ceremonies. We expect you to have regular 1:1s with your team members, but you can organize them around your schedule
- A supportive and kind work environment where you can grow and challenge yourself to do your best work
Practicals
- You’ll report to: Engineering Manager, Data
- Direct reports: 2-5
- Team: Engineering, Data
- Location: Anywhere in the world. We will be prioritising candidates from EMEA, LATAM and APAC countries initially.
- Start date: As soon as possible
Remote Compensation Philosophy
Remote’s Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.
At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.
The base salary range for this full-time position is $63,300 to $142,450. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.
Application process
1. Interview with recruiter
2. Interview with Hiring Manager
3. (async) Code challenge
4. (async) Code Challenge Review
5. Interview with team members
6. Executive Interview
7. Bar Raiser Interview
8. Prior employment verification check (Read more at remote.com/employment-checks)
Benefits
Our full benefits & perks are explained in our handbook at
remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:
- work from anywhere
- unlimited personal time off (minimum 4 weeks)
- quarterly company-wide day off for self care
- flexible working hours (we are async)
- 16 weeks paid parental leave
- mental health support services
- stock options
- learning budget
- home office budget & IT equipment
- budget for local in-person social events or co-working spaces
How you’ll plan your day (and life)
We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.
You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.
If that sounds like something you want, apply now!
How to apply
- Please fill out the form below and upload your CV with a PDF format.
- We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
- If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.
We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.
Please note we accept applications on an ongoing basis.
