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- Tasks: Join a fintech scale-up as a Senior Data Engineer, building and maintaining data pipelines.
- Company: WeDo partners with a leading fintech to simplify money management through innovative technology.
- Benefits: Enjoy remote work flexibility or hybrid options in London/Manchester, with a competitive salary up to £80k.
- Why this job: Be part of a growing team passionate about data engineering in a dynamic, supportive environment.
- Qualifications: Expertise in Python, SQL, AWS Glue, Airflow, and data warehousing is essential.
- Other info: This role does not offer sponsorship; ideal for UK residents.
The predicted salary is between 48000 - 112000 £ 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. AWS Glue & Airflow experience is ideal for this position. 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 Snowflake is desirable. 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 role is paying up to £80k for the right candidate. If this role is of any interest, please apply & I’ll be in touch. *Unfortunately this job does not offer sponsorship
Senior Data Engineer (AWS Glue, Airflow) employer: WeDoTech
Contact Detail:
WeDoTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (AWS Glue, Airflow)
✨Tip Number 1
Make sure to showcase your experience with AWS Glue and Airflow in your conversations. These tools are crucial for the role, and demonstrating your hands-on experience can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss specific projects where you've built and maintained data pipelines. Highlighting your problem-solving skills and attention to detail will resonate well with the hiring team.
✨Tip Number 3
Familiarize yourself with the company's finance app and its features. Showing genuine interest in their product and how your skills can enhance it will demonstrate your passion for data engineering.
✨Tip Number 4
Network with current or former employees on platforms like LinkedIn. Gaining insights about the company culture and expectations can help you tailor your approach during interviews.
We think you need these skills to ace Senior Data Engineer (AWS Glue, Airflow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, AWS Glue, and Airflow. Use specific examples of projects where you've built and maintained data pipelines to showcase your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your meticulous attention to detail has contributed to your previous successes. Mention your experience with data warehousing and any relevant tools like Snowflake.
Showcase Your Interpersonal Skills: Since the role requires great interpersonal skills, include examples in your application that demonstrate how you've effectively collaborated with team members and stakeholders in past projects.
Highlight Remote Work Experience: If you have experience working remotely or in a hybrid setup, mention it in your application. This will show that you can thrive in the flexible work environment offered by the company.
How to prepare for a job interview at WeDoTech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data pipeline development. Highlight specific projects where you've utilized AWS Glue, Airflow, or Spark/PySpark, as these are crucial for the role.
✨Demonstrate Attention to Detail
Since the company values meticulousness, share examples of how your attention to detail has positively impacted your previous work. This could include debugging complex data issues or optimizing data models.
✨Communicate Effectively
With great interpersonal skills being a requirement, practice explaining technical concepts in simple terms. Be ready to discuss how you collaborate with team members and stakeholders to achieve project goals.
✨Express Your Passion for Data Engineering
Convey your genuine enthusiasm for data engineering. Discuss what excites you about the field and how you stay updated with the latest trends and technologies, especially within the AWS ecosystem.
