This is an open application job, which means the role is not currently available but will be in the future (we can't say when). If you applied to the role, you'd be invited to the 1st chat when you're a right fit, then the recruitment process stops there, and will be resumed once this role is opened.

How do I know if this job is a good fit for me?

• You enjoy solving complex problems using data and analytics.
• You thrive in an environment where innovation, collaboration, and autonomy are valued.
• You want to work with a team of experts who are great at what they do—without the office politics.
• You are passionate about using data to drive real business impact.
• You stay ahead of industry trends and continuously develop your skills in data science, analytics, and machine learning.

If that sounds like you, congratulations—you’ve found the right place!

What is In Marketing We Trust all about?

We're a technical performance marketing agency, and we exist to solve tough problems in marketing. We bring an engineering mindset to complex marketing situations to deliver a scalable performance that generates an exponential return on investment.

Trust is in our name and is our guiding principle. To deliver on our purpose, we will conduct our business by the following Code of Ethics:

• Build trust through every interaction with every person

• Always deliver in the best interest of our clients

• Invest in the success of every team member

• Build long-term relationships with our partners

Delivering these foundational codes will fund our continued growth while providing a fair return for shareholders.

What is the internal culture like?

Let's hear from our employees on why they chose to join and stay:

• A good management team creates growth opportunities, embodies company values, and understands people's pain points.
• A nice, dedicated, supportive (and funny) team with years of experience, therefore, really good at what they're doing.
• Flexibility in working hours, working location, no micromanaging, and you can take full ownership of your work.
• No politics, no bullsh!t.
• Very good processes, clear expectations.

About the role

As a Data Engineer, you will help clients make data-driven decisions by collecting, processing, analysing, and visualising data. You’ll work on medium to large-scale projects across multiple industries, helping clients unlock the full potential of their data.

Your role will involve working with disparate data sources, building data warehousing solutions, developing machine learning models, and creating actionable insights through reports and dashboards.

Beyond client work, you’ll also contribute to building and improving internal tools that enhance the agency’s analytics capabilities.

What am I accountable for?

• Collect, process, and clean data from various sources.
• Design and implement data models, ETL pipelines, and automation workflows.
• Conduct in-depth data analysis and build predictive models to solve business challenges.
• Develop reports and visualisations using BI tools such as Tableau, Google Data Studio, or Looker.
• Work closely with clients to understand business problems and provide actionable insights.
• Continuously improve internal workflows by automating repetitive tasks.
• Support account expansion efforts by identifying opportunities to provide additional value to clients.

How will I be measured:

Your success will be measured by:

• Accuracy and efficiency of data models, ETL processes, and automation workflows.
• Impact of insights on client decision-making and business outcomes.
• Client satisfaction scores based on feedback and results.
• Timeliness and quality of reports and dashboards.
• Internal process improvements that enhance the agency’s efficiency.

Who will I be working with?

• The Senior DevOps & Engineer, who will support and guide your work.
• Cross-functional teams, including SEO, Paid Media, and CIO.
• Clients across various industries, helping them unlock the power of their data.

What knowledge and skills do I require to be successful?

Core Competencies

1. Data Science & Analytics – Strong knowledge of machine learning, statistical analysis, and data modelling.
2. Programming – Proficiency in Python, R, and SQL for data analysis and automation.
3. ETL & Data Processing – Experience with data wrangling, cleaning, and transformation from multiple sources.
4. Business Intelligence – Familiarity with Tableau, Google Data Studio, or similar visualisation tools.
5. Problem-Solving – Ability to diagnose data issues and develop innovative solutions.
6. Project Management – Skilled in scoping, estimating, and delivering projects on time.
7. Communication – Ability to present complex data insights in a clear, concise, and actionable manner.

Preferred Competencies (Nice to Have)

• Experience with Google Analytics and Google Tag Manager.
• Knowledge of big data processing (e.g., Spark, Hadoop).
• Familiarity with cloud platforms (AWS, GCP, Azure).

Position title: Data Engineer

Department: Digital Delivery

Report to: Head of Data Engineer

Direct report: N/A

Days/Hours: M-F/40 hours/week | Full-time | Permanent

Employment type:  Contractor. Please see the difference in our FAQ.

Targeted timezones/locations: GMT+4, +5, +6

Note: only applications within the targeted time zones/locations are being processed.