At a Glance
- Tasks: Design and build scalable data pipelines using Databricks and cloud platforms.
- Company: Join an established international organisation driving data innovation.
- Benefits: Competitive rate, hybrid work model, and potential for contract extension.
- Other info: Collaborative environment with opportunities to mentor and lead.
- Why this job: Shape the future of data transformation and make impactful decisions.
- Qualifications: Proficient in Databricks, Python, and SQL with strong engineering skills.
An established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.
Responsibilities for the Senior Data Engineer:
- Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards.
- Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights.
- Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data function.
- Contribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platforms.
- Collaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutions.
- Champion data governance, privacy, and security best practices, ensuring compliance and protection of customer data.
- Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation.
Essential Skills for the Senior Data Engineer:
- Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming.
- Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines.
- Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions).
- Managing and querying data lakes or Lakehouse's.
- Excellent communication skills with the ability to explain complex technical concepts clearly and persuasively.
Desirable Skills for the Senior Data Engineer:
- Experience with event sourcing, dbt, or related data transformation tools.
- Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric).
- Understanding of machine learning model enablement and operationalisation within data architectures.
- Experience working within Agile delivery environments.
If you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance.
Hybrid Senior Data Engineer — Databricks & Cloud Pipelines employer: Involved Solutions
Join an established international organisation that values innovation and excellence in the data engineering field. With a hybrid working model based in Central London, you will enjoy a collaborative work culture that fosters professional growth through mentorship and exposure to high-impact projects. The company prioritises employee development and offers competitive rates, making it an attractive employer for those looking to make a meaningful impact in data transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Senior Data Engineer — Databricks & Cloud Pipelines
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can lead to insider info on job openings and even referrals.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Databricks and cloud pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data architecture concepts. Practice common interview questions and be ready to explain your thought process clearly. Remember, communication is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Senior Data Engineer role. We love seeing candidates who take the initiative and show genuine interest in joining our team!
We think you need these skills to ace Hybrid Senior Data Engineer — Databricks & Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Databricks, Spark, and cloud platforms like Azure or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've designed and built data pipelines. We love seeing real-world applications of your skills, especially if they involve mentoring others or implementing CI/CD practices.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain complex concepts, as we value excellent communication skills. Remember, we want to understand your thought process easily!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our Data & Middleware function.
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Apache Spark skills. Be ready to discuss performance tuning, Delta Lake, and streaming concepts in detail. The more confident you are with these technologies, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and built scalable data pipelines in the past. Highlight any challenges you faced and how you overcame them, especially in relation to cloud platforms like Azure or AWS.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely be collaborating with cross-functional teams, so being able to communicate effectively is key. Think about how you can convey your ideas clearly and persuasively.
✨Emphasise Team Collaboration
Be ready to discuss your experience working in Agile environments and how you've collaborated with Business Analysts and Product Owners. Share examples of how you’ve mentored junior engineers and driven best practices in DevOps and CI/CD.
