At a Glance
- Tasks: Build scalable data pipelines and ensure data quality for impactful projects.
- Company: Join a forward-thinking company with a focus on data innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and career growth opportunities.
- Why this job: Make a difference in data management while mentoring junior talent across Europe.
- Qualifications: Expertise in Python, SQL, and data governance required.
- Other info: Collaborate with global teams in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 Β£ per year.
This role is mainly remote with some on-site presence in Central London. You will work with client facing teams outside of Technology and mentor more junior members across Europe. There is potential for career progression as the company grows.
Responsibilities
- Collaborate with product managers and business stakeholders to understand complex business requirements and translate them into well-designed, maintainable solutions.
- Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines.
- Create data governance policies and develop data models and schemas optimized for analytical workloads.
- Influence the direction for key infrastructure and framework choices for data pipelining and data management.
- Manage complex initiatives by setting project priorities, deadlines, and deliverables.
- Collaborate effectively with distributed team members across multiple time zones, including offshore development teams.
Skills Required
- Proven track record building scalable data pipelines (batch and streaming) in production.
- Expert Python, PySpark, Celery and RabbitMQ skills; deep experience with AWS data stack (Glue, OpenSearch, RDS).
- Expert skills within SQL with experience in both transactional RDBMS systems and distributed systems.
- Hands-on with Lakehouse technologies (Apache Iceberg, S3 Tables, StarRocks).
- Strong grasp of data governance, schema design, and quality frameworks.
- Comfortable leading infrastructure decisions and collaborating across distributed teams.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Data Infrastructure and Analytics
Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote employer: Buy Local Sundridge Ltd
Contact Detail:
Buy Local Sundridge Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Buy Local Sundridge Ltd or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
β¨Tip Number 2
Prepare for those interviews! Brush up on your SQL, Python, and data pipeline skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions related to data engineering.
β¨Tip Number 3
Showcase your projects! If you've built any cool data pipelines or worked on relevant projects, make sure to highlight them during interviews. We love seeing practical examples of your skills in action.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in joining the team at Buy Local Sundridge Ltd.
We think you need these skills to ace Senior Data Engineer, SQL, RDBMS, Python, Celery, RabbitMQ, Pt Remote
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Python, and data pipelines. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful.
Showcase Your Projects: If you've worked on relevant projects, donβt hold back! Share examples of your work with data governance, schema design, or any cool data solutions you've built. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us!
How to prepare for a job interview at Buy Local Sundridge Ltd
β¨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and AWS skills before the interview. Be ready to discuss your experience with Celery and RabbitMQ, as well as any hands-on work you've done with Lakehouse technologies. The more specific examples you can provide, the better!
β¨Understand the Business Side
Since you'll be collaborating with product managers and business stakeholders, it's crucial to understand how data solutions impact business outcomes. Prepare to discuss how you've translated complex requirements into maintainable solutions in the past.
β¨Showcase Your Mentoring Skills
As this role involves mentoring junior team members, think of examples where you've guided others or led a project. Highlight your leadership style and how you foster collaboration within distributed teams, especially across different time zones.
β¨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Be ready to tackle hypothetical scenarios related to data quality checks or project management. Practising these types of questions will help you articulate your thought process clearly during the interview.