Data Engineer

We are seeking a highly analytical, proactive, and results-oriented Data Engineer to join our dynamic team. You will be a pivotal player in shaping the growth and success of our social platform by owning the data lifecycle – from researching and implementing optimal data collection strategies to leveraging that data to drive user engagement, retention, and conversion. Your responsibilities will span from fine-tuning our content recommendation algorithms and building robust data pipelines to designing and analysing A/B tests and integrating Web3 (blockchain) data for deeper user understanding. You will work cross-functionally with engineering, product, and marketing teams, providing them with actionable insights and data-driven strategies. If you are passionate about transforming raw data into tangible product improvements and business outcomes, and enjoy the challenge of building data systems from the ground up, this role is for you.

Responsibilities:

• Design and Implement Data Collection Strategies: Research, evaluate, and implement best-practice data collection mechanisms and relevant integrations across our applications (web, mobile) and third-party services. This includes defining event tracking, instrumenting applications, and ensuring data integrity from the source.

• Build and Maintain Data Pipelines: Design, construct, install, test, and maintain highly scalable and reliable data management systems and ETL/ELT pipelines, originating from the data collection systems you help define and implement, to collect, process, store, and integrate user, application, and blockchain data.

• Develop and Fine-Tune Content Recommendation Algorithms: Design, implement, and iteratively improve algorithms to personalise content discovery, utilising both off-chain and on-chain (Web3) user activity data.

• User Data Analysis for Growth: Collect, analyse, and interpret large datasets to identify user trends, segmentation opportunities, and key drivers for user retention and conversion.

• A/B Testing and Experimentation: Plan, design, execute, and statistically analyse A/B tests and other experiments in collaboration with product and marketing teams to optimise features, user flows, and campaigns for maximum impact on retention and conversion.

• Marketing & Product Data Support: Provide data insights and build dashboards to support marketing campaign optimisation, product feature adoption, and overall growth strategies.

• Data Integration: Design and implement integrations with various internal systems, third-party analytics tools (e.g., Mixpanel, Amplitude, Google Analytics), marketing platforms, and blockchain data sources to create a unified and comprehensive view of user behaviour.

• Data Quality and Governance: Implement processes and tools to ensure data accuracy, completeness, and consistency across all data sources, including Web3 data.

• Performance Monitoring and Optimisation: Monitor the performance of data systems, recommendation algorithms, and A/B tests, identifying and addressing bottlenecks or areas for improvement.

• Reporting and Visualisation: Develop clear and insightful dashboards and reports to communicate key findings, experiment results, and data-driven recommendations to stakeholders.

Qualifications:

• 3+ years of experience in data engineering, data science, growth analytics, or a related role.

• Proven experience in designing and implementing data collection strategies, including event tracking instrumentation

• Strong proficiency in programming languages commonly used in data engineering (e.g., Python, Scala, Java).

• Proven experience in planning, executing, and statistically analysing A/B tests and other experiments.

• Experience with building and maintaining data pipelines (ETL/ELT processes).

• Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).

• Familiarity with machine learning concepts and experience in developing or fine-tuning recommendation systems.

• Experience with data visualisation tools.

• Experience with cloud platforms (AWS), particularly their data services.

• Understanding of data modelling, data structures, and data architecture.

• Excellent analytical, statistical, and problem-solving skills.

• Ability to work independently, take ownership, and manage projects in a fast-paced environment.

Bonus Points (Highly Desirable):

• Social media analytics experience

• Blockchain experience

• Experience with stream-processing systems (e.g., Kafka, Spark Streaming, Flink).

• Experience with MLOps practices and tools.

• Familiarity with A/B testing frameworks and methodologies.

• Experience with specific recommendation algorithms (e.g., collaborative filtering, content-based filtering, hybrid models).

• Experience integrating with marketing automation or analytics platforms.