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- Tasks: Lead the Data Engineering team in developing and improving data pipelines.
- Company: Join a top SaaS company known for its trust-based culture and employee satisfaction.
- Benefits: Enjoy flexible hours, performance bonuses, and a full home office setup.
- Why this job: Make a real impact in a dynamic environment while growing your technical skills.
- Qualifications: Experience with AWS, Apache Spark, and strong coding skills in SQL or Python required.
- Other info: Opportunity for one-on-one coaching and access to cutting-edge tools.
The predicted salary is between 70000 - 80000 £ per year.
Role : Senior Data Engineer
Salary : £70-80K
Location : Stretford
Flexibility : Hybrid
Our client, a leading player in SaaS and custom applications, is seeking a capable and technically skilled Senior Data Engineer to join their growing and dynamic team. With a culture built on trust and autonomy, this company is experiencing exciting growth, offering an excellent opportunity for someone to join a fast-paced business with a proven track record of long-term employee satisfaction and success.
This position is a leading role in the Data Engineering team, developing, maintaining and improving the end-to-end data pipeline. This will include performing DevOps, Backend and Cloud development on the data infrastructure, working on complex data problems in a dynamic and challenging environment.
This role will involve:
- Real time data processing
- Extract, Transform, Load (ETL) jobs
- Artificial intelligence
- Large and complex dataset analytics
Other responsibilities:
- Writing application code and tests that adheres to company standards
- Developing infrastructure, automation and scheduling scripts for reliable data processing
- Continually evaluating and contributing towards cutting-edge tools and technologies to improve the data platform
- Supporting the production systems running the deployed data software
- Reviewing colleagues’ work regularly and providing constructive feedback
- Working with stakeholders to fully understand requirements
- Being the subject matter expert for the data platform, presenting knowledge to others
Your required skills:
- Knowledge of AWS or equivalent cloud technologies
- Knowledge of Serverless technologies, frameworks and best practices
- Apache Spark (Scala or Pyspark)
- Experience using infrastructure automation tools, such as AWS CloudFormation or Terraform
- Knowledge of Scala or OO language, such as Java or C#
- SQL or Python development
- Knowledge of agile development practices, including continuous integration, automated testing and working with requirements and specifications
- Interpersonal skills, positive attitude and willingness to help others in the team
- Experience debugging and dealing with failures on business critical systems
Your desired skills:
- Exposure to Apache Spark, Apache Trio or other big data processing system
- Experience streaming data principles and best practices
- Understanding database technologies and standards
- Exposure to data engineering practices used in Machine Learning training and inference
- Experience with using Git, Jenkins and other CI/CD tools
Benefits:
- Performance-based bonus scheme to reward your contributions
- Flexibility to choose the tech that works best for you – ability to source and integrate it within the company
- One-on-one coaching and a training budget to support your continuous growth
- Free parking and secure bike shed, with excellent public transport access
- Full home office setup (desk, screen, chair) provided
- Flexible working hours to accommodate your personal needs
If you’re looking to leverage your skills with hands-on impact, and take a senior role in supporting a growing technical team in SaaS, apply now!
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Sr Data Engineer - Hybrid employer: Senitor Associates
Contact Detail:
Senitor Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Data Engineer - Hybrid
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as AWS, Apache Spark, and SQL. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at the company can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-time data processing and ETL jobs during the interview. Be ready to share examples of how you've tackled complex data problems in previous roles, as this will demonstrate your capability for the position.
✨Tip Number 4
Showcase your interpersonal skills and positive attitude during interactions with the hiring team. Since the role emphasizes collaboration and support within the team, demonstrating your willingness to help others can make a strong impression.
We think you need these skills to ace Sr Data Engineer - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS, Apache Spark, and ETL processes. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's culture. Mention specific projects or experiences that demonstrate your ability to solve complex data problems and work in a team.
Showcase Technical Skills: In your application, emphasize your technical skills, especially in cloud technologies, programming languages like Scala or Python, and your experience with CI/CD tools. Provide examples of how you've used these skills in past roles.
Highlight Soft Skills: Don't forget to mention your interpersonal skills and positive attitude. The company values teamwork and collaboration, so provide examples of how you've successfully worked with stakeholders and supported your colleagues.
How to prepare for a job interview at Senitor Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Apache Spark, and ETL processes in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the technical demands of the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your approach to complex data problems. Prepare examples of challenges you've faced in previous roles and how you resolved them, particularly in a fast-paced environment.
✨Emphasize Team Collaboration
Since the company values interpersonal skills and teamwork, be ready to share experiences where you've collaborated effectively with colleagues or stakeholders. Discuss how you provide constructive feedback and support others in achieving common goals.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest tools and technologies in data engineering, especially those related to cloud services and big data processing. Showing that you're proactive about learning and adapting will resonate well with the company's culture of continuous improvement.
