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- Tasks: Join our FinTech team to develop scalable data pipelines and ensure data quality.
- Company: A leading high-tech company with over 6,500 employees and 300 million active users.
- Benefits: Enjoy full remote work flexibility and competitive pay of £450 per day.
- Why this job: Be part of cutting-edge technology in AR, VR, and data analytics while making impactful decisions.
- Qualifications: 5+ years in SQL and Python, strong Apache Airflow experience required.
- Other info: Contract role with potential extensions into 2027.
The predicted salary is between 54000 - 90000 £ per year.
Our client is a global leading and fast growing high tech company with over 6,500 employees across 20+ offices and 300 million+ active users on some of the platforms they developed. They are looking for a senior Data Engineer to join their FinTech team!
You will develop scalable data pipelines, ensure data quality, and support business decision-making with high-quality datasets.
- Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing
- Design and develop scalable ETL pipelines to automate data processes and optimize delivery
- Implement and manage data warehousing solutions, ensuring data integrity through rigorous testing and validation
- Lead, plan and execute workflow migration and data orchestration using Apache Airflow
- Focus on data engineering and data analytics
Requirements:
- 5+ years of experience in SQL
- 5+ years of development in Python
- MUST have strong experience in Apache Airflow
- Experience with ETL tools, data architecture, and data warehousing solutions
- Strong communication skills
This contract is £450 per day inside IR35, 6 month contract with likely extensions into 2027.
Senior Data Engineer employer: Widen the Net Limited
Contact Detail:
Widen the Net Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with SQL and Python in your conversations. Be ready to discuss specific projects where you've used these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with Apache Airflow and be prepared to explain how you've implemented it in past roles. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Tip Number 3
Network with professionals in the FinTech space, especially those who work with data engineering. Engaging in relevant discussions can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your approach to data quality and integrity. Have examples ready that illustrate how you've ensured high-quality datasets in previous roles, as this is crucial for supporting business decision-making.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Apache Airflow. Include specific projects or achievements that demonstrate your skills in data engineering and analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the FinTech sector. Mention how your background aligns with the company's focus on scalable data pipelines and data quality.
Showcase Relevant Experience: In your application, emphasise your 5+ years of experience in SQL and Python. Provide examples of how you've implemented ETL processes and managed data warehousing solutions in previous roles.
Highlight Communication Skills: Since strong communication skills are a requirement, include instances where you've effectively communicated complex data concepts to non-technical stakeholders or led team projects.
How to prepare for a job interview at Widen the Net Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Apache Airflow in detail. Bring examples of projects where you've developed scalable data pipelines or implemented ETL processes, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Big Query, Spark, and Hadoop. Showing that you have a good grasp of their tech stack will impress the interviewers and show your commitment to the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles related to data quality and integrity, and be ready to explain how you overcame them.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. This will highlight your ability to bridge the gap between data engineering and business needs.
