At a Glance
- Tasks: Design and optimise data pipelines using Databricks and cloud technologies.
- Company: Join a forward-thinking analytics platform with a remote-first culture.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on cutting-edge technology.
- Why this job: Make an impact by building large-scale data solutions in an innovative environment.
- Qualifications: Active SC clearance and expertise in Databricks, Python, and AWS required.
We're looking for a Senior Data Engineer - Databricks & Big Data Pipelines to join our team, working in our UK remote working division. This position requires active UK Security Check (SC) clearance and offers the opportunity to build advanced, large-scale data engineering solutions for an innovative analytics platform. You will design, develop and optimize distributed data pipelines on Databricks and cloud ecosystems while ensuring performance, scalability, and compliance. The role combines technical depth with client-facing delivery as part of an agile and collaborative environment.
Responsibilities
- Design, develop and optimize end-to-end data pipelines using Databricks, Spark/PySpark and Python
- Lead the full pipeline lifecycle: analysis, architecture, development, testing, deployment and monitoring
- Implement ingestion, normalization and standardization workflows for high-volume and diverse data sources
- Ensure data platform architecture supports performance, security, and compliance requirements
- Collaborate cross-functionally with engineering, product teams and client stakeholders during project delivery
- Support ML readiness for ingestion and transformation pipelines where required
- Promote data platform best practices across security, governance and cloud adoption strategies
Mandatory Requirements
- Active SC Clearance
- Expertise in Databricks, including Delta Lake and Unity Catalog
- Strong background in Python, PySpark and advanced SQL
- Proven experience in AWS cloud platforms for data engineering
- Track record of building high-performance, large-scale data solutions in production environments
- Ability to lead pipeline lifecycle (design, deploy, monitor) autonomously
- Strong communication skills for stakeholder collaboration and client presentations
SkillSet Overview
Must Have:
- Databricks (Delta Lake, Unity Catalog, workflows)
- Python Data Engineering Technologies (including PySpark)
- SQL
- AWS
Nice to Have:
- AI and ML Ops
- PostgreSQL
- OpenSearch
- Microsoft Azure
- Claude Code (AI productivity tooling)
- Docker / Kubernetes
- REST APIs
- Cloud-native ML pipeline deployment
- Familiarity with managing data platform releases, monitoring and cost governance
- Domain understanding in supply chain analytics, compliance or public sector data
- Experience integrating AI tools into engineering workflows
Data Engineer (Databricks) - SC Clearance Required in London employer: Ports North
Join a forward-thinking company that values innovation and collaboration, offering a remote working environment tailored for Data Engineers. With a strong focus on employee growth, you will have the opportunity to work on cutting-edge data engineering solutions while enjoying a supportive culture that promotes best practices in security and cloud adoption. This role not only provides competitive rates but also allows you to engage with diverse projects that make a meaningful impact in the analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Databricks) - SC Clearance Required in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have the inside scoop on a job that’s perfect for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines or any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and practising common interview questions. Be ready to discuss your experience with Databricks, Python, and AWS. Confidence is key, so show them you know your stuff!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that role. We love seeing candidates who are proactive and engaged, so don’t hesitate to reach out if you have questions about the application process!
We think you need these skills to ace Data Engineer (Databricks) - SC Clearance Required in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Python, and AWS. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Mention your SC clearance and how your background aligns with our needs in data engineering.
Showcase Your Projects:If you've worked on any cool data pipelines or analytics projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve collaboration and innovation.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Ports North
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge, especially Delta Lake and Unity Catalog. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Pipeline Mastery
Prepare to talk about the full lifecycle of data pipelines you've designed and developed. Highlight specific examples where you led the analysis, architecture, development, testing, deployment, and monitoring phases, demonstrating your ability to manage complex projects.
✨Communicate Like a Pro
Since this role involves client-facing delivery, practice articulating your technical knowledge in a way that's easy for non-technical stakeholders to understand. Think about how you can explain complex concepts simply and clearly.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Prepare examples of how you've implemented ingestion, normalisation, and standardisation workflows for high-volume data sources, and be ready to discuss the impact of your solutions on performance and compliance.
