Windows Endpoint Engineer

The Data Team

You will be part of the data team. We work cross-functionally with other teams to bring data-driven impact to Fabulous and its business units like Product Growth, User Acquisition and Finance.

Practically the team handles 3 data areas:

• Data Project Management: Based on business needs, we sort requests, refine requirements and ACs with business and/or data stakeholders, prioritise, plan and executive while communicating proactive and frequently to ensure visibility and a well connected feedback loop with involved parties (reviewer, data stakeholder, business stakeholder)
• Applied Analytics & Data Science: Data Exploration, Defining appropriate and agile analytics approach. We aim for simplicity and interpretability but don't shy away from complexity when faced with it. All new projects have a strong Data Science component during the first MVP iteration
• Analytics Engineering: Data Modelling and Transformations to serve build, maintain and scale our Analytics Pipelines. Practically, as soon as an MVP gets validated by different stakeholders, we start implementing it and improving it iteratively in our dbt project. Testing and data observability is a highly important component. Proper architecture that helps manage TechDebt is another key element here as well.

All members of the team are expected to excel in at least 2 of the above mentioned areas to be autonomously impactful.

We work in an agile manner by splitting bigger projects into iterations that rarely expand beyond 3 weeks to ensure impact.

We have a modern cloud-based Data-Stack (Fivetran - Big Query - dbt - Amplitude - Metabase - Looker Studio) and want to consolidate our ranks with a capable well-rounded Senior Analytics Engineer who can integrate our agile context smoothly and bring value quickly.

Expectations | Duties

This role is highly critical to the continuous success of the data science team:

• You will work on Data Modelling and Analytics Engineering project to improve, enrich and maintain our data models and Analytics pipelines. Those projects will be in close collaboration with the head of Data & Analytics as the main stakeholder. The objective of those project is to further enable data analytics and scientist from the team to bring more impact to the business use cases they are working on in collaboration with business teams.
• You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. Solid methodical testing is key here to strengthen Data Observability.
• You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, , have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth, help data analysts and scientist improve and strengthen their engineering skills ...)
• You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission
• You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics
• You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills
• You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers

Requirements

• University Degree in Engineering, Computer Science or Applied Mathematics
• A minimum of 4 years of experience in Data or Analytics Engineering
• Excellent hands on skills in Data Modelling
• Excellent SQL skills (even better if this is coupled with dbt experience or a similar sql based data modelling tool)
• Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…)
• Previous experience working with modern data stack tools and cloud based data warehouse (BQ, Snowflake, Redshift,..)
• Sound business acumen to mange your own projects and your business stakeholders
• Self-Starter with the ability to work autonomously and own ones projects fully
• Excellent written and verbal communication skills (English)
• Comfortable in a remote work environment (we are a remote-first organisation)

Good to Have:

• Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase)
• Good analytical and statistical intuition
• Hands-on Data Analysis skills
• Prior experience managing modern dbt data pipelines
• Prior experience in an agile start-up environment

About Us

An award-winning health, wellness, & coaching company that creates apps which fall the top ten internationally. Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives. Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better.

Our History

Three co-founders created the Fabulous app: Sami, Amine, and Taylor. Growing up in Tunisia, Sami and Amine were only 16 when they met. With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia. Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely. Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University.

Our Approach

We use a behavioral economics lens to help individuals find that 'on switch' inside them to achieve their fullest potential. What has emerged is a system that transforms tiny habits into profound long-term changes. A world in which people with ADHD thrive. A method for gratitude to reach through difficulty. A sanctuary to seek out your true purpose. A fountain of knowledge. A space for rest and self compassion.

Our Mission

Help every individual discover the wonderful person inside themselves by creating: beautiful, evidence-based, life-changing products.

Our Environment

The first thing that sets us apart is that we’re not a place at all. While we’re a remote company, it’s not unusual to feel you know your teammates better than those you’ve shared an office with in the past. Ours is a professionally nourishing environment that is flexible and fully remote. Team members enjoy in house challenges and Slack event and work across a variety of tools. Meetings are kept to a minimum and deep work is encouraged.

Our Awards

• Apple Best Apps of 2018
• Editor’s app choice in more than 30 countries
• Winner of Google’s Material Design Award
• Best App Finalist in Google Play Awards
• Consistently ranking in the top ten Health & Fitness apps
• Backed by Facebook Startup Lab and Microsoft Venture

Our Norms

Ownership: Be the CEO of your tasks. No one is watching over your shoulder. Be the proof.

Open Communication: Constructive ideas are always flying across time zones.

Deep Work: Disconnect. Find your flow. Become industrious. It’s about the work here.

Always Offer Context: Sharing rationale works wonders in asynchronous conversations.

Impeccable Agreement: Promise, then follow through. Everyone relies on everyone.

Egos are checked at the door. Those who join our workforce place themselves in service of our members.

Our Values

#collaboration #craftsmanship #feedback #respect #responsibility #simplicity #speed

Our Future

To this day, over 30 million people have started their journey to better themselves with our apps. We are creating a generation of change-makers, with the same drive to help others, each in their own way.

Our Invitation

At Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life through behavioral science. Tell us what drives you; if you were to pick up your tools, what would you contribution look like?

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How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

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HiveMQ empowers businesses to transform with the most trusted MQTT platform. Designed to connect, communicate, and control IoT data under real-world stress, the HiveMQ MQTT platform is the proven enterprise standard and powers use cases in automotive, energy, logistics, smart manufacturing, transportation, and more. Leading brands like Audi, BMW, Liberty Global, Mercedes-Benz, Siemens, and ZF choose HiveMQ to build smarter IoT projects, modernize factories, and create better customer experiences.

HiveMQ is a remote-first company headquartered in Landshut, Germany, with a US office in Boston, Massachusetts. The last time we counted, we spoke 32 languages within our diverse team at HiveMQ. We are looking for innovative, motivated, and passionate individuals to join our rapidly growing company.

HiveMQ’s Vision for this role

To be an integral part of our Customer Success team by making sure our clients receive top service by maintaining relationships with HiveMQ’s current clients, addressing their technical needs as well as finding opportunities for expanding our client base.

You will…

• Increase our customers' trust in and success with the HiveMQ Platform
• Proactively help customers with current and future challenges by demonstrating how various products and services can be best utilized.
• Act as the technical liaison to our customers, check-in regularly and provide architectural support, support them in building technical proofs of concept and showcase new products.
• Internally representing the customer’s voice towards the HiveMQ Product Management to ensure our products continue to provide the best possible value for our customers.
• Work in close collaboration with the HiveMQ technical support team to guarantee that our documentation and knowledge base constantly improves, keeping our ease of use promise

You have…

• Bachelor’s degree in a related technical field or equivalent practical experience.
• Supported enterprise level accounts on their technical success journey successfully.
• Experience in direct customer communication, interfacing with executive stakeholders, driving technical implementation or transformation programs.
• Experience managing high impact cross functional projects
• Experience in distributed systems with messaging or database technology
• Experience in designing architecture and proofs of concept
• Excellent communication and writing skills in English
• Familiarity with modern cloud architectures

EXCERPT FROM OUR CUSTOMER LIST

https://www.hivemq.com/customers/

Informations about our job advertisements

Job advertisements of HiveMQ GmbH are always directed at female, male and various applicants, regardless of age, gender, religion, sexual identity, disability, race, ethnic origin, world view, etc. The selection of a candidate is exclusively based on qualifications. For organisational reasons, we cannot return application documents and cannot reimburse any expenses that you incur during the application process.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.

We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.

Metabase is looking for a customer-focused, technical Open Source Community Advocate to join our growing global team! We are looking for someone who loves data analytics, enjoys helping others, and is excited to work for a startup to help drive our Success Engineering team’s mission to help our customers be successful by guiding them on how to get data from all the various places it lives, transform it into useful shapes, or to convert their questions into actual queries that can be executed.  You will help and build relationships with our customers in the public places they hang out (like LinkedIn, Twitter, Reddit, and data slack communities), providing help to Metabase users using our open source and for-fee products.  Our discourse forum is often the first resource that comes up when our customers search for issues, and it’s used by Metabase customers big and small.

A typical day will involve a mix of answering our users on our discourse forum and helping customers on Twitter or other social channels.  Any given week, you might correspond with our users to hear what they’re trying to accomplish, collaborate with our writing team, or participate in brainstorming sessions on what content we should create for our customers.

Why Success?

We are the voice for our customers.  Our product team reviews our feedback, asks us for advice, and engages with our customers proactively.  We have a writer on our team who reviews what questions our customers are asking and improves our documentation, so the next customer doesn’t have to ask.  We also work closely with an engineering team focused on critical issues and our escalations, so we don’t have to worry about our customers being impacted by major bugs for a long time.

We’re 100% remote, and our operations are designed that way.  People work during the times that work for them.  You are not expected to be “on” at all times, and there are no points for responding quickly to every Slack you receive.  

We don’t overpromise our customers. Since we’re open source, our customers can see what we’re doing in our Github repository and our roadmap is publicly available for our customers at all times.

Many companies use the word “success” to describe jobs that are really sales jobs or account management jobs with quotas. We are not about that. We’re exclusively here to make sure our open source users, our future customers who are currently on trials, and our current paying customers all get the appropriate help they need to be successful.  

If you want to take part and have a voice in a truly growing business, believe that BI analytics should be easy to use and set-up, and that self-service analytics should be a real thing and not just some marketing jargon that people put on their websites, please apply!

Being an Open Source Community Advocate at Metabase would be a great fit for you if you:

• Enjoy helping people and solving their problems
• Have a strong technical background (minimum of 3 -5 years writing production code or administering systems)
• Have experience with using data visualization or data analytics tools (bonus if you have experience using Metabase)
• Have excellent written communication
• Are comfortable being the face of Metabase during webinars or in-person events

You have expertise in at least one of:

• Running Metabase on a variety of operating systems for multiple years
• Strong background in networking and how web applications function
• Managing servers (either physical, or Docker, or AWS/GCP/etc)
• Managing databases and strong SQL skills

It’s not required, but a plus if you:

• Are fluent in multiple languages (this is helpful as our users are world-wide)
  

We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.

For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.

E-Verify Participation Notice (English/Spanish)

Right to Work Notice (English/Spanish)

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

The Data Science Team

You will be part of the data science team. We work cross-functionally with other teams to bring data-driven impact to Fabulous and its business units like Product Growth, User Acquisition and Finance.

Practically the team handles 3 data areas:

• Data Project Management: Based on business needs, we sort requests, refine requirements and ACs with business and/or data stakeholders, prioritise, plan and executive while communicating proactive and frequently to ensure visibility and a well connected feedback loop with involved parties (reviewer, data stakeholder, business stakeholder)
• Applied Analytics & Data Science: Data Exploration, Defining appropriate and agile analytics approach. We aim for simplicity and interpretability but don't shy away from complexity when faced with it. All new projects have a strong Data Science component during the first MVP iteration
• Analytics Engineering: Data Modelling and Transformations to serve build, maintain and scale our Analytics Pipelines. Practically, as soon as an MVP gets validated by different stakeholders, we start implementing it and improving it iteratively in our dbt project. Testing and data observability is a highly important component. Proper architecture that helps manage TechDebt is another key element here as well.

All members of the team are expected to excel in all three areas to be autonomously impactful.

We work in an agile manner by splitting bigger projects into iterations that rarely expand beyond 3 weeks to ensure impact.

We have a modern cloud-based Data-Stack (Fivetran - Big Query - dbt - Amplitude - Metabase - Looker Studio) and want to consolidate our ranks with a capable well-rounded Senior Data Scientist who can integrate our agile context smoothly and bring value quickly.

Expectations | Duties

This role is highly critical to the continuous success of the data science team:

• You will work on diverse high priority business projects to make Fabulous more data driven. Those projects will be in close collaboration with business teams and will aim for clear and tangible business impact like (improving accuracy of metrics, analytically exploring new growth perspectives, building well-tested analytics reporting pipelines, investigating and correcting data discrepancies, applying statistics and ML effectively...)
• You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role.
• You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, become the main point of contact with at least one business team, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth...)
• You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission
• You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics
• You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills
• You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers

Requirements

• University Degree in Engineering, Computer Science or Applied Mathematics
• A minimum of 4 years of experience in applied Data Science with strong engineering component
• At least 2 years of previous hands-on experience with Digital Marketing/User Acquisition (aka UA) (attribution, iOS privacy & SKAN, UA metrics reporting) or Product/Growth (AB-testing, Retention, Monetisation...)
• Excellent SQL skills with previous experience building data models for analytics purposes using dbt or a similar data transformation tool that emphasises on good engineering practices and system architecture
• Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc…)
• Self-Starter with the ability to work autonomously and own and manage your projects fully (also manage your stakeholders and the communication with them)
• Excellent written and verbal communication skills (English)
• Comfortable in a remote work environment (we are a remote-first organisation)

• Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) - or similar ones
• Prior experience in an agile start-up environment

About Us

An award-winning health, wellness, & coaching company that creates apps which fall the top ten internationally. Our science-based approach sits squarely in the tech-for-good lane, helping people live their best lives. Everyone who has joined this company is committed to using evidence-based research to find the absolute best ways to change lives for the better.

Our History

Three co-founders created the Fabulous app: Sami, Amine, and Taylor. Growing up in Tunisia, Sami and Amine were only 16 when they met. With their early iteration, they reached out to Taylor, an award-winning designer in Malaysia. Their vision was welcomed into an incubation lab for startups at Duke University led by world-renowned Behavioral Economics Professor Dan Ariely. Our Chief Storyteller Jaz co-founded the Introductory Psychology program at Stanford University.

Our Approach

We use a behavioral economics lens to help individuals find that 'on switch' inside them to achieve their fullest potential. What has emerged is a system that transforms tiny habits into profound long-term changes. A world in which people with ADHD thrive. A method for gratitude to reach through difficulty. A sanctuary to seek out your true purpose. A fountain of knowledge. A space for rest and self compassion.

Our Mission

Help every individual discover the wonderful person inside themselves by creating: beautiful, evidence-based, life-changing products.

Our Environment

The first thing that sets us apart is that we’re not a place at all. While we’re a remote company, it’s not unusual to feel you know your teammates better than those you’ve shared an office with in the past. Ours is a professionally nourishing environment that is flexible and fully remote. Team members enjoy in house challenges and Slack event and work across a variety of tools. Meetings are kept to a minimum and deep work is encouraged.

Our Awards

• Apple Best Apps of 2018
• Editor’s app choice in more than 30 countries
• Winner of Google’s Material Design Award
• Best App Finalist in Google Play Awards
• Consistently ranking in the top ten Health & Fitness apps
• Backed by Facebook Startup Lab and Microsoft Venture

Our Norms

Ownership: Be the CEO of your tasks. No one is watching over your shoulder. Be the proof.

Open Communication: Constructive ideas are always flying across time zones.

Deep Work: Disconnect. Find your flow. Become industrious. It’s about the work here.

Always Offer Context: Sharing rationale works wonders in asynchronous conversations.

Impeccable Agreement: Promise, then follow through. Everyone relies on everyone.

Egos are checked at the door. Those who join our workforce place themselves in service of our members.

Our Values

#collaboration #craftsmanship #feedback #respect #responsibility #simplicity #speed

Our Future

To this day, over 30 million people have started their journey to better themselves with our apps. We are creating a generation of change-makers, with the same drive to help others, each in their own way.

Our Invitation

At Fabulous, every team member is a sculptor in their own right. Together, we help millions of users step out of their block of stone and step into the fullest version of their life through behavioral science. Tell us what drives you; if you were to pick up your tools, what would you contribution look like?

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.