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- Tasks: Join a fintech scale-up as a Senior Data Engineer, building and maintaining data pipelines.
- Company: WeDo partners with innovative fintechs to simplify money management through tech.
- Benefits: Enjoy remote work flexibility or hybrid options in London or Manchester.
- Why this job: Be part of a growing team that values your passion for data engineering and offers hands-on experience.
- Qualifications: Expertise in Python, SQL, Snowflake, and cloud technologies like AWS is essential.
- Other info: Gain commercial experience with tools like AWS Glue and Aurora while working in a supportive environment.
The predicted salary is between 48000 - 84000 £ per year.
WeDo has partnered with a leading fintech scale-up that is looking to scale it’s Data Engineering Practice. Who are they…….Imagine a finance app that’s like your smart, low-fee wingman—budgeting help, savings boosts, and no confusing lingo! It’s here to make managing money actually easy With it’s significant growth in the past few years and large investment into their data function – they are in need a Senior Data Engineers! What skills you need…… Well versed working with Python Deep understanding of SQL Experienced in Spark and/OR PySpark. Snowflake experience is a must!!!! Building, developing and maintaining robust data pipelines Good understand of working API’s, databases etc Deep cloud knowledge across the AWS ecosystem You are well versed in Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) Any experience with AWS Glue, Aurora is desirable – if you haven’t no problem, you will gain commercial experience in this role!! Your character You are meticulous with your attention to detail – going right into the granular! Have great interpersonal skills and work well with team members and key stakeholders. Genuinely passionate about data engineering and be a true advocate. This role can be either fully remote in the UK or if you wish to be hybrid then they have an office in central London or Manchester. The…
Senior Data Engineer (Snowflake) - Remote employer: WeDo Technology Solutions Limited
Contact Detail:
WeDo Technology Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Snowflake) - Remote
✨Tip Number 1
Make sure to showcase your experience with Snowflake prominently. Since it's a must-have for this role, highlight any specific projects or achievements where you've utilized Snowflake to build or maintain data pipelines.
✨Tip Number 2
Demonstrate your proficiency in Python and SQL through real-world examples. Discuss how you've used these skills to solve complex data problems or improve data processes in previous roles.
✨Tip Number 3
Emphasize your understanding of the AWS ecosystem. If you have experience with services like AWS Glue or Aurora, mention it, but also express your eagerness to learn if you haven't worked with them yet.
✨Tip Number 4
Highlight your attention to detail and interpersonal skills. Share examples of how you've collaborated with team members and stakeholders to deliver successful data engineering projects.
We think you need these skills to ace Senior Data Engineer (Snowflake) - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Snowflake. Include specific projects where you've built or maintained data pipelines, and emphasize your familiarity with AWS services.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's mission to simplify finance. Mention your attention to detail and interpersonal skills, as these are key traits they are looking for.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving Spark, PySpark, or data warehousing, be sure to include them in your application. This will demonstrate your hands-on experience and technical expertise.
Highlight Cloud Knowledge: Since deep cloud knowledge across the AWS ecosystem is important, mention any relevant certifications or experiences you have with AWS services like Glue or Aurora, even if you haven't used them commercially yet.
How to prepare for a job interview at WeDo Technology Solutions Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and Snowflake in detail. Highlight specific projects where you've built or maintained data pipelines, and be ready to explain your approach to problem-solving in these areas.
✨Demonstrate Your Understanding of Data Warehousing
Since the role requires a deep understanding of data warehousing and modeling, come equipped with examples of how you've implemented these concepts in previous roles. Discuss any relevant tools like Redshift or PostgreSQL that you've used.
✨Emphasize Your Attention to Detail
Given the meticulous nature of the job, share instances where your attention to detail made a significant impact on a project. This could be anything from debugging a complex SQL query to ensuring data integrity in a pipeline.
✨Highlight Your Interpersonal Skills
Since collaboration is key, prepare to talk about how you've worked effectively with team members and stakeholders in the past. Share examples of how you’ve communicated complex technical information to non-technical audiences.
