Data Analytics Engineer (TOP FINTECH!)

Looking for a challenging role in a super-fast Fintech?

Do you have strong Python Skills? Are you looking to work in a cutting-edge technology team?

Do you want to work for a TOP TEAM? Are you interested in Blockchain Innovations?

Are you a fantastic communicator? Do you want your voice heard and your actions to count? THEN APPLY NOW!

This is an outstanding opening to join a very small but growing team. You will be working in a BRAND-NEW Data and Analytics Team. They do have a global team to support you but if you want a real challenge and want to drive innovation then this is the place to join! The role is designed to be a career-defining opportunity for a data enthusiast who is eager to explore the depths of analytics engineering and take ownership of projects that push the boundaries of what our data can achieve.

Role Vision and Culture

As a Data Analytics Engineer, you'll play a crucial role in managing and enhancing our Insight Environment. Your primary responsibility will be to oversee the events and ads data, ensuring its quality and readiness for analytical consumption. You will be at the helm of orchestrating the Insight Environment, managing data pipelines, and operationalizing machine learning models to support strategic decision-making. Your expertise will be instrumental in maintaining the integrity and efficiency of our data processes, making you a key player in driving the analytical capabilities of the company forward. You will be working in a fun and business focused role.

TOP SKILLS: YOU MUST HAVE STRONG Python Experience. We are open to looking at a Python Developer who wants to focus on Data rather than pure development.

Why you'll love this role:

In this role, you'll be at the forefront of data technology, working with an advanced modern data stack that includes industry-leading tools such as dbt, Databricks, BigQuery, and Prefect. You'll not only apply these powerful tools to propel our data infrastructure forward but also continuously learn and master them. Our team thrives on innovation and efficiency, so you'll have the chance to contribute to and shape our evolving data ecosystem.

Key Responsibilities

• Data Ownership: Take charge of events and ads data within the Insight Environment, ensuring high-quality data governance and stewardship.
• Data Preparation: Rigorously prepare data for aggregation, establishing a reliable foundation for analytics and reporting via DBT, BigQuery and Power BI.
• Machine Learning Operationalization: Productionize machine learning models in Databricks, enabling scalable and efficient deployment of data science solutions.
• Insight Environment Orchestration: Own the orchestration of the Insight Environment (Prefect), ensuring seamless data workflows and integration of analytical tools.
• Data Pipeline Management: Manage RETL (Reverse ETL) processes within Rudderstack to optimize the flow and utility of data across systems.

Qualifications

You will have/be:

• A strong background in a data or analytics engineering role, underpinned by a solid command of advanced Python and SQL for sophisticated data manipulation and analysis.
• Solid understanding of PySpark or similar distributed computing systems.
• A degree in computer or data science, ideally at a postgraduate level.
• A good understanding of the principles and components involved in the product ionisation of machine learning models.
• Demonstrated expertise in data preparation, ensuring that data is accurate and primed for use across the business.
• Skilled in data system orchestration, with the ability to manage workflows and processes to support a robust data environment.
• Knowledgeable in Reverse ETL processes, and able to leverage your technical abilities to streamline and enhance data operations.

Benefits

• 40 Days of Holiday, including Bank Holidays which you can take flexibly when it works for you.
• World class private health insurance with dental coverage.
• Significant "Flexible Benefits" budget to spend on the things that matter the most to you.
• Employee Assistance Program
• Life Insurance
• Critical Illness Insurance
• Upto 20% Bonus

Central London Location: 3 days in the office and 2 days at home. Hybrid working and more flexible depending on projects and work schedules.

3 stage process and quick turnaround. APPLY NOW!

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