At a Glance
- Tasks: Develop and maintain data pipelines, optimise performance, and support reporting needs.
- Company: Join a dynamic tech company revolutionising connectivity with a fun, energetic culture.
- Benefits: Competitive salary, flexible remote work, professional development, and generous leave policies.
- Other info: Exciting growth opportunities and regular team-building events.
- Why this job: Be part of an innovative team making a real impact in the data ecosystem.
- Qualifications: Experience with Snowflake, dbt, SQL, Python, and cloud infrastructure.
The predicted salary is between 50000 - 60000 € per year.
Our key mission is to empower businesses to bring seamless, affordable connectivity to their customers, wherever they go. We bring a new disruptive approach to the traditional wholesale business model, combining best in class technology with Tier 1 Mobile Network Operators. With our support, businesses all over the world are unleashing the power of connectivity to their customers, and the huge growth we’re enjoying now is a testament to our hard work and highly skilled team. We leverage technology in everything we do, but it’s our people who really make the magic happen. We move fast, and as our company grows new opportunities continue to arise. If you’re looking to accelerate your career in a fun, energetic and forward thinking company, get in touch.
The Role Overview
We are seeking hands‑on Data Engineers who are passionate about owning problems end‑to‑end, working directly with business stakeholders, and operating effectively within a distributed team.
What You’ll Be Doing
- Develop and maintain robust ELT pipelines and transformation models.
- Support and optimise our Snowflake data warehouse performance.
- Build and maintain dbt models, ensuring associated documentation is current.
- Monitor and troubleshoot failures across data pipelines, Airbyte connectors, schema changes, and ingestion issues.
- Support critical Tableau reporting datasets and meet downstream reporting requirements.
- Drive improvements in reliability, governance, and observability across the entire data platform.
- Support Finance and commercial reporting needs, including revenue recognition, P&L, and margin analysis.
- Work closely with stakeholders across Finance, Commercial, Product, and Operations.
- Contribute actively to initiatives focused on data quality, metric consistency, and documentation.
What You’ll Need
- Strong hands‑on experience with:
- Snowflake
- dbt
- SQL
- Python
- Cloud infrastructure (AWS preferred)
Highly Desirable
- Airbyte
- S3
- Git‑based workflows and CI/CD concepts
- Revenue or finance reporting datasets
We are looking for someone who is:
- Pragmatic and delivery‑focused, comfortable operating in a dynamic scale‑up environment.
- A strong communicator, capable of working directly and effectively with business stakeholders.
- Proactive in identifying risks, gaps, and potential improvements within the data ecosystem.
- Comfortable owning complex technical problems from inception to resolution.
- Able to operate effectively and collaboratively within a distributed, remote‑first team setting.
What We Offer
- Competitive Compensation: A salary between £50,000- £60,000 doe
- Performance‑Based Incentives: A performance‑based incentive program to encourage and reward exceptional performance.
- Flexible Work Arrangements: We offer flexible work arrangements, including remote work options, to support your personal and professional commitments.
- Professional Development: Access to ongoing training opportunities, workshops, and resources to enhance your skills and knowledge.
- Generous Leave Policies: Paid time off policies, including vacation days, sick leave, and public holidays.
- Company Events and Team Building: Regular company events and team‑building activities to foster camaraderie and celebrate our successes together.
- Opportunities for Advancement: Growth opportunities and career advancement based on performance and potential.
We relish a challenge. If you share that passion, let’s talk. Apply now to become an integral part of our exciting journey with eSIM technology.
Data Engineer - Remote in Banbury employer: RGIT Australia
At eSIM Go, we pride ourselves on being a dynamic and innovative employer that empowers our employees to thrive in a remote-first environment. With competitive compensation, flexible work arrangements, and a strong focus on professional development, we foster a culture of collaboration and growth, ensuring that every team member has the opportunity to make a meaningful impact while enjoying a rewarding work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Remote in Banbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with current employees at eSIM Go. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Snowflake, dbt, and Python. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by understanding the company’s mission and values. Be ready to discuss how your experience aligns with their goals, especially around improving data platforms and working collaboratively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the eSIM Go team.
We think you need these skills to ace Data Engineer - Remote in Banbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Snowflake, dbt, and SQL, as these are key skills we’re looking for. Don’t just list your responsibilities; show us how you’ve made an impact in your previous roles!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission. Be sure to mention any relevant projects or experiences that align with what we do at StudySmarter.
Showcase Your Problem-Solving Skills:We love candidates who can own problems from start to finish. In your application, share examples of complex technical challenges you’ve tackled and how you approached them. This will help us see your pragmatic and delivery-focused mindset!
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 don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at RGIT Australia
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, dbt, SQL, and Python. Brush up on your cloud infrastructure knowledge, particularly AWS, as this will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've owned complex technical problems from start to finish. Highlight how you identified issues, implemented solutions, and improved processes, as this aligns perfectly with what they’re looking for.
✨Communicate Effectively
Since the role involves working closely with business stakeholders, practice articulating your thoughts clearly and concisely. Be ready to explain technical concepts in a way that non-technical team members can understand, showcasing your strong communication skills.
✨Demonstrate Your Proactivity
Think of instances where you’ve proactively identified risks or gaps in a data ecosystem and taken steps to address them. This will show that you’re not just reactive but also forward-thinking, which is crucial in a dynamic scale-up environment.
