Team Lead, Analytics Engineering

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 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making.

2024 is a transformative year for us where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and Python being extensively employed.

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 2-5 engineers, ensuring the delivery of high-quality data products and 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 data platform tooling: SQL, data warehouse (eg. Snowflake), dbt, BI tools (eg. Looker, Metabase)
• Experience leading a team of 2+ engineers, and significant experience as an analytics engineer or developer within data teams
• Strong understanding of engineering development principles and best 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 $54,000 to $125,000. 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 future manager
3. Async exercise
4. Interview with team members
5. Interview with Director of Data.
6. Prior employment verification check
7. Offer (async)

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