At a Glance
- Tasks: Design and build end-to-end data pipelines using Azure and PySpark.
- Company: Join a dynamic team in the fast-paced CPG industry.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative environment with enthusiastic over-achievers.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Experience in data engineering and familiarity with AI/ML workflows.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics)
- Awareness of LLMs / Agentic AI architectures from a data platform perspective
- Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift
- Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.)
- Experience working in CPG, Retail, Supply Chain, or similar domains
What the job involves
- Ideally with previous Consultancy and CPG industry experience
- Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse)
- Be hands-on in development, debugging, optimization, and production support of data pipelines
- Work with or extend existing/proprietary ETL frameworks (e.g., Mar's Simpel or similar) and improve performance and reliability
- Implement data modeling, transformation, and orchestration patterns aligned with best practices
- Apply data engineering fundamentals including partitioning, indexing, caching, cost optimization, and performance tuning
- Collaborate with upstream and downstream teams to ensure data quality, reliability, and SLAs
- Contribute to the design of cloud-native data architectures covering ingestion, processing, storage, and consumption
- Translate business and analytical requirements into practical, scalable data solutions
- Support data governance practices including metadata, lineage, data quality checks, and access controls
- Work within hybrid environments (on-prem to cloud) and support modernization initiatives
- Understand and apply data mesh concepts where relevant (domain ownership, reusable data products, basic contracts)
- Evaluate tools and frameworks with a build vs. buy mindset, recommending pragmatic solutions
- Act as a technical anchor for a data engineering team
- Provide technical guidance, code reviews, and mentoring to engineers
- Own delivery for assigned data products or pipelines—from design through deployment
- Collaborate with product owners, analysts, and architects to clarify requirements and priorities
- Engage with business and analytics stakeholders to understand data needs and translate them into technical solutions
- Clearly communicate technical designs and trade-offs to both technical and non-technical audiences
- Escalate risks and propose mitigation strategies proactively
- Support documentation of architecture, pipelines, and operational processes
Senior Data Architect (Azure / CPG Industry) in London employer: Deepstreamtech
Join a dynamic and innovative team where your expertise as a Senior Data Architect will be valued and nurtured. Our company fosters a vibrant work culture that prioritises collaboration, continuous learning, and personal growth, all while being at the forefront of the CPG industry in a location that thrives on technological advancement. With competitive benefits and opportunities to work with enthusiastic over-achievers, you'll find meaningful and rewarding employment here.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect (Azure / CPG Industry) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the CPG and data engineering space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, AI/ML projects, or any cool stuff you've built. This is your chance to shine and demonstrate your hands-on experience with Azure and other platforms. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around data governance, ETL frameworks, and cloud-native architectures. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Tailor your application to highlight your experience in the CPG industry and your familiarity with data mesh concepts. Let’s get you on board!
We think you need these skills to ace Senior Data Architect (Azure / CPG Industry) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Architect role. Highlight your exposure to AI/ML workflows and any relevant experience in the CPG industry. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background aligns with our needs. Don’t forget to mention your hands-on experience with Azure and other platforms like AWS or GCP.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's designing data pipelines or implementing data governance practices, we love seeing real-world examples of your work. It helps us understand your practical skills better.
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 the role. Plus, it shows you’re keen on joining our enthusiastic team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Workflows
Make sure you brush up on AI/ML data workflows, especially feature engineering and MLOps basics. Be ready to discuss how you've applied these concepts in your previous roles, particularly in the CPG industry.
✨Familiarise with Cloud Platforms
Since the role involves Azure, AWS, GCP, and others, it’s crucial to have a solid understanding of these platforms. Prepare examples of how you've used them in past projects, focusing on data pipelines and cloud-native architectures.
✨Showcase Your Data Governance Knowledge
Be prepared to talk about your experience with data governance tools like DataHub or Collibra. Highlight any specific instances where you ensured data quality and compliance, as this is key for the role.
✨Communicate Clearly
You’ll need to explain technical designs to both technical and non-technical audiences. Practice articulating complex ideas simply and clearly, as effective communication is vital for collaboration with various stakeholders.
