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- Tasks: Join a dynamic team to manage data pipelines and enhance cloud capabilities.
- Company: Be part of an innovative company focused on cutting-edge data solutions.
- Benefits: Enjoy career growth, advanced training in AI/ML, and a collaborative work culture.
- Why this job: Work with the latest technologies and mentor junior engineers while making an impact.
- Qualifications: Strong skills in SQL, Python, and experience with cloud solutions required.
- Other info: This role offers access to advanced training in ML Ops.
The predicted salary is between 43200 - 72000 £ per year.
An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers.
Key Responsibilities:
- Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure).
- Source and verify data from multiple sources, ensuring it is ready for ingestion.
- Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies.
- Analyse large datasets using Python and SQL.
- Set up new pipelines for data streaming, enrichment, and curation.
- Manage and maintain source code repositories (GitHub).
- Investigate and apply AI/ML solutions to enhance cloud capabilities.
Key Skills & Experience:
- Strong proficiency in SQL and Python.
- Experience in cloud data solutions (AWS, GCP, or Azure).
- Experience in AI/ML.
- Experience with PySpark or equivalent.
- Strong problem-solving and analytical skills.
- Excellent attention to detail.
- Ability to manage stakeholder relationships effectively.
- Strong communication skills and a collaborative approach.
Why Join Us?
- Work with cutting-edge technologies in cloud data engineering and AI/ML.
- Opportunity for career growth and professional development.
- Be part of an innovative and forward-thinking data team.
If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now!
Senior Data Engineer employer: Adria Solutions Ltd.
Contact Detail:
Adria Solutions Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS, GCP, or Azure. Having hands-on experience or certifications in these platforms can significantly boost your chances of standing out.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to analyse large datasets and automate data pipelines.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience in AI and ML. Engaging in relevant online communities or attending meetups can provide valuable insights and connections that may lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with mentoring junior engineers during the interview. Highlight any past experiences where you've successfully guided others, as this is a key responsibility of the role.
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 cloud data solutions like AWS, GCP, or Azure. Emphasise any relevant projects or roles that showcase your skills in AI/ML and data pipeline automation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the job description, such as mentoring junior engineers or working with large datasets, to demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on projects involving data streaming, enrichment, or curation, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work to illustrate your capabilities.
Highlight Soft Skills: The job requires strong communication and stakeholder management skills. Include examples in your application that demonstrate your ability to collaborate effectively and manage relationships within a team setting.
How to prepare for a job interview at Adria Solutions Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of past projects where you've automated data pipelines or worked with cloud solutions like AWS, GCP, or Azure. This will demonstrate your hands-on experience and technical expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and problem-solving approach. Prepare to discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data quality and integration.
✨Highlight AI/ML Experience
Since the role involves AI and ML, be ready to talk about any relevant experience you have in these areas. Discuss any projects where you've applied AI/ML solutions and how they enhanced data capabilities, as this will show your alignment with the company's focus.
✨Prepare for Collaborative Scenarios
Given the emphasis on mentoring and stakeholder management, think of examples that showcase your collaborative approach. Be ready to explain how you've worked with teams, mentored junior engineers, or managed relationships with stakeholders effectively.
