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For Companies At a Glance
- Tasks: Build and maintain scalable data platforms that drive business insights and innovation.
- Company: Join a forward-thinking company focused on cloud-first data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by designing future-ready data solutions for analytics and AI.
- Qualifications: Strong SQL and Python skills with experience in ETL/ELT tools and cloud platforms.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.
What Youll Do:
- Build, test, and maintain ETL/ELT pipelines for structured and unstructured data.
- Design and optimise data warehouses, lakes, and cloud-native platforms.
- Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards).
- Deliver high-quality datasets to analysts, data scientists, and business stakeholders.
- Work with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks.
What Were Looking For:
- Strong SQL & Python skills.
- Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory).
- Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable).
- Solid data modelling knowledge and performance optimisation skills.
- Awareness of data governance, security, and regulatory compliance.
- Ability to work closely with technical and business teams to deliver impactful solutions.
Nice-to-Haves:
- Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).
- CI/CD experience and DevOps practices for data workflows.
- Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).
- Experience in financial services or other highly regulated industries.
Senior Data Engineer in Slough employer: Lynx Recruitment Limited
Contact Detail:
Lynx Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL/ELT pipelines and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with tools like Matillion or Azure Data Factory, and think of examples where you've designed data solutions that made a real impact.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, as well as any hands-on experience with ETL/ELT tools. We want to see how you can contribute to building those scalable data platforms!
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 your background aligns with our needs. Don’t forget to mention your experience with cloud data platforms like Snowflake – we love that!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's designing data warehouses or implementing compliance frameworks, we want to see your hands-on experience and how you've tackled real-world challenges.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Lynx Recruitment Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL, Python, and any ETL/ELT tools like Matillion or Azure Data Factory. Brush up on your cloud platform knowledge, particularly Snowflake, as this will be crucial for your role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you designed data solutions that improved analytics or decision-making, as this will demonstrate your ability to deliver impactful results.
✨Understand Compliance and Security
Familiarise yourself with GDPR and other relevant regulations. Be ready to talk about how you’ve implemented security frameworks in past projects, as this is a key aspect of the role and shows you take data governance seriously.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their data strategies and challenges. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
