Data Analytics Engineer

30% of the food produced worldwide is wasted. It is estimated that 11 million tons of food ends up in the trash instead of in hungry mouths every year. ResQ Club was created to solve this huge and complex problem – in other words, to bring global food waste to zero. But our mission doesn't stop at just food waste. We envision a society where people are conscious of their consumption and the waste it generates.

Impossible problems require unconventional minds. We are constantly looking for talented people who can challenge the status quo, find creative yet sustainable solutions, and – as empathic team members – do their part in making sure the work is meaningful and fun for everyone involved.

We are currently hiring a Data Analytics Engineer to support our growth and internal decision-making. Your key responsibilities include ensuring seamless integration of data into our existing pipeline, maintaining data accuracy and integrity, and managing and developing the data pipeline. This position requires a strong engineering background coupled with the capacity for analytical thinking, as the core responsibilities necessitate both technical expertise and analytical skills.

As the Data Analytics Engineer at ResQ Club, you will…

• Develop and test data architectures and large-scale processing systems.

• Maintain robust data models within our pipeline to ensure the accurate representation and accessibility of data.

• Enhance data models by adding new fields as requested by the internal customers to meet evolving business requirements.

• Explore and implement cutting-edge AI and machine learning tools to enhance our data analytics capabilities and drive innovation in our data pipeline.

• Provide high quality service to your internal and external data customers

• Assist in constructing and maintaining Holistics dashboards to visualize key business metrics.

You might work on projects like:

• Accounting and financial reports (Holistics, Google Sheets, Python)

• Building data models in dbt underlying the dashboards

• Implement machine learning models to predict food waste patterns and optimize our service's impact.

Services we use:

• Our data platform consists of the following

  • Custom Python scripts in Cloud Run and Google Datastream for extracting data

  • Google BigQuery is our data warehouse and we use dbt for data transformations

  • Holistics is our current BI tool for visualising data

  • Pulumi for Infrastructure-As-Code

  • Vertex AI for machine learning

• App database MySQL on Amazon RDS

• We leverage advanced AI models like GPT-4 and Claude to enhance our data analysis, automate routine tasks, and generate insights.

• Cursor is our IDE (but you’re of course free to use any tool you like)

Our ideal candidate is…

• Proficient in SQL and Python with a strong understanding of relational databases and data systems.

• Quick learner with a passion for staying at the forefront of AI and data technologies, able to adapt swiftly to new tools and methodologies in this rapidly evolving field.

• Flexible and collaborative team player with excellent communication skills.

• Capable of carrying out projects and managing their work efficiently.

• Data generalist able to go from engineering the data pipelines to serving novel business insights to customers

And preferably has…

• Knowledge of dbt (data build tool)

• Experience with data visualization tools like Holistics

• Strong problem-solving and analytical skills.

NB: In an ideal world, all these qualities are combined in one person who happens to want to work with us. In the real world, this is more of a wish list for the genie in the bottle and we strongly encourage people to apply despite not necessarily ticking all the boxes.

Work time, salary and specifications

⏱ 37.5 hours per week

Salary range for this position is 3800 € – 5200 € per month

This is a Helsinki-based, on-site position with flexible remote work opportunities

Succeeding in this position requires English proficiency. Finnish is not required.

Read more about our perks, benefits and why you should choose ResQ Club as your next workplace at the bottom of the page.

Preliminary timeline for the hiring process

This is a target timeline, and we reserve the right to make any changes.

The process is anonymous up until the first sit-down, meaning our system will automatically anonymise your application & CV so that we won't know your name, birth date, gender or nationality.

• Application period ends on Wednesday 9 October 2024 at 23:59 GMT+2

• Quick phone call | weeks 40-41

• Data assignment | weeks 41-42

• Tech interview | within 2 weeks of application

• Meeting the Team Lead for Data | within 3 weeks of application

• Decision time

• Starting date at your convenience