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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: Work with cutting-edge technologies like AR, VR, and 3D printing while making impactful decisions.
- Qualifications: 5+ years in SQL and Python, strong Apache Airflow experience required.
- Other info: Contract likely extends into 2027, offering long-term opportunities.
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
Familiarise yourself with the specific technologies mentioned in the job description, especially SQL, Python, and Apache Airflow. Consider building a small project or contributing to open-source projects that utilise these tools to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the FinTech sector, particularly those who work with data engineering. Join relevant online communities or attend virtual meetups to gain insights and potentially get referrals for the position.
✨Tip Number 3
Prepare to discuss your previous experiences with ETL processes and data warehousing solutions in detail. Be ready to explain how you ensured data quality and integrity in your past projects, as this will be crucial for the role.
✨Tip Number 4
Research the company’s recent projects and innovations in AR, VR, and data analytics. Being knowledgeable about their work will not only help you during interviews but also demonstrate your genuine interest in joining their team.
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. Use specific examples from your past roles that demonstrate your skills in developing scalable data pipelines and managing data warehousing solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your 5+ years of experience in relevant technologies and how you can contribute to their FinTech team. Be sure to include any specific projects or achievements that showcase your expertise.
Showcase Relevant Projects: If applicable, include a portfolio or links to projects that demonstrate your proficiency in ETL processes, data architecture, and data analytics. This can help set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer role.
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 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.
