At a Glance
- Tasks: Lead engineering strategy for a scalable data integration platform using Apache Airflow and GCP.
- Company: Join Bits In Glass, a rapidly growing AI and automation consultancy with a global presence.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a team recognised as a Great Place to Work with excellent career advancement.
- Why this job: Make an impact by driving innovative solutions in a collaborative tech environment.
- Qualifications: 7+ years in data engineering with strong Python and GCP skills required.
The predicted salary is between 63000 - 77000 £ per year.
Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain.
The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software.
Honoured internationally as a Great Place to Work and recipient of various partner achievement awards, BIG emphasizes team collaboration, technological innovation, and tangible client outcomes.
Our staff consists of skilled engineering professionals dedicated to tackling difficult technical problems, driving joint success, and guiding enterprise organizations through digital transformation with certainty.
Bits in Glass UK are seeking a Technical Delivery Lead to drive the engineering and technical strategy for a scalable, multi-tenant data integration platform built on Apache Airflow and Google Cloud.
In this role, you will lead the delivery of production-grade data pipelines and cloud solutions, working closely with cross-functional teams to align technical efforts and ensure reliable, high-quality outcomes using modern Dev Ops and infrastructure-as-code practices.
This position is ideal for a hands-on technical leader with strong Python and GCP experience who thinks in terms of reliability and resilience, and who can translate complex technical concepts clearly for diverse audiences while guiding teams in a collaborative environment.
- Roles and Responsibilities
- Lead the engineering and technical strategy for a scalable multi-tenant data integration platform leveraging Apache Airflow and GCP technologies.
- Build and maintain production-grade ETL/ELT pipelines orchestrated with Apache Airflow.
- Utilize container platforms such as GKE and Cloud Run.
- Apply strong software engineering skills in Python, APIs, configuration management, testing, and performance tuning.
- Implement CI/CD pipelines, release controls, automated quality gates, and Infrastructure-as-Code (Terraform).
- Design for reliability including retries, idempotency, dead-letter patterns, and operational resilience.
- Translate complex technical concepts to diverse audiences and align cross-team efforts.
- Work with GCP Big Query for large-scale data warehousing and analytics.
- Architect cloud solutions using GCP Cloud Architecture best practices. (Desirable: Experience with data lineage/metadata management tools, multi-tenant architectures, data governance, and vendor system integrations).
- Required Skills
- 7+ years of experience in data engineering or data platform engineering, with at least 3 years in a technical lead or delivery lead capacity.
- Proven experience owning a technical roadmap and aligning engineering delivery with business priorities.
- Strong hands-on experience designing and building production-grade ETL/ELT pipelines orchestrated with Apache Airflow (or Cloud Composer).
- Strong experience with GCP services including Big Query, GKE, and Cloud Run, applying GCP cloud architecture best practices.
- Proficiency in Python, with strong software engineering skills across APIs, configuration management, testing, and performance tuning.
- Working experience with Terraform and CI/CD pipelines, including release controls and automated quality gates.
- Experience designing resilient systems using patterns such as retries, idempotency, and dead-letter handling.
- Experience implementing data quality controls, including validation, reconciliation, and exception handling.
- Experience establishing engineering standards for coding, testing, documentation, observability, and security.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences and align cross-team efforts.
- Strong analytical, debugging, and problem-solving skills.
- Nice to Have
- GCP Professional Data Engineer or Professional Cloud Architect certification.
- Experience designing or enhancing multi-tenant data platforms, including tenant isolation and metadata-driven pipelines.
- Experience with data lineage and metadata management tools such as Dataplex, Data Catalog, or Open Lineage.
- Experience with data governance and data quality frameworks such as DBT or Great Expectations.
- Experience integrating and onboarding vendor or third-party source systems.
- Experience with event-driven or streaming services such as Pub/Sub or Dataflow.
- Experience with observability tooling such as Cloud Monitoring, Cloud Logging, or Datadog.
- Experience in banking, insurance, or other regulated financial services environments.
Bits In Glass (BIG) operates as a rapidly expanding AI and automation consultancy, maintaining presence throughout Canada, the United States, India, and Great Britain.
The firm's technical scope encompasses over ten primary platforms across artificial intelligence, cloud infrastructure, data management, automation solutions, and enterprise software.
Our staff consists of skilled engineering professionals dedicated to tackling difficult technical problems, driving joint success, and guiding enterprise organisations through digital transformation with certainty.
Technical Delivery Lead in London employer: Bits In Glass
Bits In Glass (BIG) is an exceptional employer that fosters a collaborative and innovative work culture, making it a great place for professionals to thrive. With a strong emphasis on employee growth and development, BIG offers opportunities to lead cutting-edge projects in AI and cloud technologies while working alongside talented teams. Located in the UK, employees benefit from a supportive environment that values technical excellence and encourages meaningful contributions to client success.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Delivery Lead in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Bits In Glass or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Bits In Glass.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Bits In Glass.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Bits In Glass that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Technical Delivery Lead in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bits In Glass.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bits In Glass and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Bits In Glass
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bits In Glass uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
