Data Engineer

London, England, United Kingdom

Unmind

Unmind is the leading workplace wellbeing platform, on a mission to create mentally healthy workplaces where employees can flourish.

View company page

Unmind is the leading workplace wellbeing platform, on a mission to create mentally healthy workplaces where employees can flourish.

Grounded in science and built for enterprise, we drive people-first performance at some of the world’s biggest brands, including Uber, Major League Baseball, NHS, Disney, Standard Chartered, Mediacom and British Airways.

Our services support the whole organisation with data-driven performance insights for leaders, training for managers, wellbeing tools for all employees, as well as access to a global network of accredited mental health practitioners.

Our internal standards are as high as those of our clients. We’re an ambitious VC backed software business on the exhilarating 10-100M phase of our growth journey. It’s hard and rewarding work and we’re determined to be our very best case study along the way.

Unmind believe high performance will hinge on the powerful harmony between our relentless drive for results and creating an environment that elevates our people's wellbeing. This wouldn’t be possible without a dedication to our core values:

  • Be Human
  • Grow Your Mind
  • Innovate at Speed
  • Inspire & Impact

To learn more about what these values mean to us, visit our careers page.

Our DEI commitment

We strive to build a workplace that celebrates our differences, where every Unminder feels included, equal, seen and heard. This is true regardless of your age, race, gender identity, religion or belief, marital or parental status, disability, neurodiversity, or sexual orientation.

We’re proud of our culture, but not smug. So if there’s anything we can do to make the hiring process more accessible, just let us know when you apply, or email talent@unmind.com.

The Role – Data Engineer

The core mission of the data team is to provide meaningful recommendations and actionable insights from our users’ and client data as we strive to build the best version of Unmind.

As a Data Engineer, you will contribute to this mission by contributing to building out our data platform architecture to enable data analysts and data scientists - as well as key stakeholders to access a variety of business and platform insights for critical decision making.

You will sit within our data team, report into our Head of Data, and collaborate closely with Software and Systems Engineers.

Things you'll do in this role

We move quickly, which means that the focus and responsibilities of any position can be quite dynamic – but here’s how we initially see your skills and passion coming to life at Unmind.

Build and Maintain - You will contribute to the build and maintenance of the technology and data platform architecture that processes and translates our data for strategic decision-making. This will include maintaining and supporting new data integrations and pipelines.

Own and Deliver - You will assist in the direction, management and implementation of the data engineering roadmap and strategy. You will also be responsible for owning and delivering projects within the data engineering team.

Collaborate - You will work closely with cross-functional teams, including data analysts, data scientists, systems engineers, software engineers, and key stakeholders to identify performance enhancements and opportunities for leveraging the organisation’s data assets to create impact in a fast-moving environment.

Our Tech Stack

AWS, Python, Dagster, Airbyte, dbt, Redshift, Terraform, Github, Postgres, Tableau

Skills and Experience

We encourage you to remove education from your CV upon application as qualifications are not a driving factor in our decision making and we are committed to tackling educational inequality. We firmly believe that no one is the finished article and that there should be learning in every role you do. However, some experience in the following is important for this position:

  • Strong, proven skillset in Python & SQL
  • Experience maintaining and working on ELT architecture and/or analytics platforms
  • Experience with monitoring data quality, job execution times, job success/failure and remediation
  • Experience and knowledge in data warehousing and data modelling best practices
  • Ability to understand & translate business requirements into technical implementation
  • Passion for mental health, tech-for-good, and generally improving people’s lives.

Benefits

At Unmind we believe in having a whole person approach and we hope that our benefits enhance the lives of Unminders, helping them be happy, healthy and fulfilled. You can see the full list of our benefits on our careers page, but they include:

  • Private Medical Insurance for you and your family
  • Unmind Equity scheme
  • Generous gender neutral parental leave
  • 25 days annual leave plus your birthday day off and 2 celebration days
  • Revive and Thrive Days: the second Friday of every month is a company day off (12 additional days of annual leave)
  • Flexible working, including flexible use of Public Holidays and 3pm finishes on Fridays June-August
  • Hybrid working from dog-friendly Central London office (1 team day a week)
  • £1,000 annual learning budget with 2 days learning leave
  • Monthly ClassPass Subscription
  • Financial wellbeing support via Bippit
  • Access to the Unmind platform, including Talk - book free, unlimited sessions with a therapist or coach
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Dagster Data quality Data Warehousing dbt ELT Engineering GitHub Pipelines PostgreSQL Python Redshift SQL Tableau Terraform

Perks/benefits: Career development Equity Flex hours Health care Insurance Medical leave Parental leave Pet friendly Startup environment

Region: Europe
Country: United Kingdom
Job stats:  12  5  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.