At a Glance
- Tasks: Optimise business strategy using data techniques and collaborate across teams.
- Company: Join Zepz, a mission-driven tech company breaking down barriers for global communities.
- Benefits: Enjoy unlimited leave, great healthcare, and tailored perks in a remote-first culture.
- Other info: Be part of a diverse team that values trust, ownership, and high performance.
- Why this job: Make a real impact by driving data-driven solutions that shape the future.
- Qualifications: Proficient in SQL, Python, and modern data warehousing; problem-solving mindset required.
The predicted salary is between 60000 - 80000 £ per year.
Join Zepz: Breaking Down Borders, Together
Our Meaningful Mission
At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal; we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting-edge finance and tech. Zepz is the power behind WorldRemit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad. We're not just moving money; we're building a world that truly recognises and supports global connections.
Who You'll Be Joining
We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem-solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like your own. We depend on Transparent Communicators who keep the team aligned through open, honest talk.
Our Core Commitments — What We Live By
- Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other.
- Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering.
- Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve.
Perks of Joining Our Team
We believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. Our remote-first culture means you have the flexibility to work in your employing country wherever you feel the most focused and productive. This freedom comes with wonderful tailored, location-specific perks designed to support your whole life, not just your work. Think unlimited annual leave, great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel.
About the Role
We are looking for a Senior Data Analytics Engineer to help us optimise our business strategy using the latest data techniques. This role is key to setting the roadmap for a highly efficient and scalable data function that will grow with the ambitious plans for the business. Reporting to Product, you will collaborate with Product, Engineering, Data Science, and the wider organisation. You will build and maintain new data models, optimise existing ones, and work with a wide variety of technologies and datasets to drive real insight and recommendations. You'll be a driving force in identifying trends, quantifying opportunities, and setting the requirements to develop data-driven solutions that have a direct impact on the business.
Data Lakehouse: Databricks
Data Processing: Python is our primary language
Orchestration & Transformation: dbt, Fivetran, and Airflow
Visualization: Mode and similar BI tools
Data monitoring and alerting: Metaplane
What You'll Do
- Data Modeling & Pipelines: Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting. Where needed, deliver dashboards to drive more self-service on data among teams.
- Stakeholder Collaboration: Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making.
- Strategic Analysis: Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights.
- Data Governance & Quality: Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers.
- Champion Data Culture: Champion the use of data to optimise business performance and bring fresh analytical ideas to the table.
- Communication & Presentation: Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences.
- Process Improvement: Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure.
- Data Cleansing & Transformation: Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources.
- Insight Storytelling: Translate complex analytical findings into clear, compelling narratives and visualisations for both technical and non-technical audiences, influencing strategic decision-making.
What We’re Looking For From You
- You are highly proficient with daily use of SQL and have hands-on experience in a modern cloud data warehouse/lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake).
- You’re comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines.
- You have the ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews.
- You have a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer.
- You see yourself as a strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of your technical solutions.
- You are an advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards.
- You are passionate about learning, able to quickly adopt new business concepts and technologies, and are an independent, curious person who likes to take initiative.
- You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world.
Bonus Points
- You have familiarity with dbt to design and implement data models.
- Experience with data orchestration tools.
- AML Transaction Monitoring definition, calibration, testing and documentation.
- Experience with regulatory testing regimes such as DFS rule 504 a plus.
- Customer risk rating definition, calibration, testing and documentation.
Senior Data Analytics Engineer employer: Zepz
At Zepz, we pride ourselves on being an exceptional employer that champions a vibrant and diverse culture, empowering our team members to thrive in a remote-first environment. With benefits like unlimited annual leave, comprehensive healthcare, and tailored perks, we foster a high-trust atmosphere that encourages ownership and commitment. As a Senior Data Analytics Engineer, you'll have the opportunity to work collaboratively across teams, driving impactful data-driven solutions while continuously growing your skills in a fast-paced, purpose-driven setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and data models. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. We want you to feel confident and ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Senior Data Analytics Engineer
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data analytics shine through! We want to see how your skills align with our mission at Zepz and how you can contribute to breaking down barriers for our customers.
Tailor Your CV:Make sure to customise your CV for the Senior Data Analytics Engineer role. Highlight relevant experience with SQL, Python, and any data modelling tools you've used. We love seeing how your background fits into our fast-paced environment!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your past projects and achievements. Remember, we appreciate transparent communication, so make it easy for us to understand your impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Zepz!
How to prepare for a job interview at Zepz
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Python, and Databricks. Brush up on your skills and be ready to discuss how you've used these technologies in past projects.
✨Understand Zepz's Mission
Familiarise yourself with Zepz’s mission of breaking down barriers for cross-border communities. Be prepared to explain how your role as a Senior Data Analytics Engineer can contribute to this mission and support their goals.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of specific examples where you’ve identified trends or improved processes using data. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Communication Skills
Since you'll need to present complex data insights to non-technical audiences, practice explaining technical concepts in simple terms. Prepare to discuss how you’ve successfully communicated findings in previous roles.