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 landscape.
- Qualifications: Experience with Snowflake, dbt, SQL, Python, and cloud infrastructure.
The predicted salary is between 50000 - 60000 £ per year.
Who We Are
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 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. Join us to be part of a forward-thinking team that values your contributions and celebrates success together.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Remote
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We think you need these skills to ace Data Engineer - Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
