Data Architect / Engineer in London

Data Architect / Engineer in London

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build data structures and pipelines for innovative digital solutions.
  • Company: Join Appnovation, a global leader in digital transformation and innovation.
  • Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
  • Other info: Embrace diversity and inclusion in a fast-paced, collaborative environment.
  • Why this job: Make a real impact by shaping the future of data architecture and engineering.
  • Qualifications: 5+ years in data engineering, strong ETL skills, and experience with graph databases.

The predicted salary is between 72000 - 88000 £ per year.

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services.

We build digital solutions that deliver real impact today and serve as foundations for future growth.

Bold ambition.

Practical action.

Endless possibilities.

Technology is foundational to all of Appnovation’s offerings, from consulting to digital innovation, to digital product and service creation.

The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.

Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.

As a Data Architect / Engineer, you will join a highly motivated and experienced team and own both the data structures behind our graph-RAG platform and the pipelines that get content into it — modeling the knowledge and pumping it in at scale.

You will define the schema, taxonomy and graph model for our knowledge domains, build resilient ingestion pipelines from enterprise content sources such as Share Point and the wider Microsoft stack, and keep the knowledge graph accurate as source documents evolve.

We are looking for people who can bring a strong, solution-focused mindset and contribute to architectural decisions, best practices and get things done.

KEY RESPONSIBILITIES

  • Define the schema, taxonomy, and graph modeling for the knowledge domains.
  • Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay).
  • Build ingestion/ETL pipelines from enterprise content sources (e. g., Share Point and the wider Microsoft stack), handling multimodal content (presentations, documents, transcripts).
  • Keep the knowledge graph in sync as source documents change frequently.
  • Advise on whether the current backend approach (Supabase/Postgres) is the right long-term architecture, and validate ingested content quality with QA.
  • Establish data quality, lineage, and governance standards across pipelines.
  • Build monitoring, alerting, and error-handling for ingestion jobs.
  • Document data models, schemas, and pipeline architecture.
  • Optimize pipeline cost, throughput, and reliability over time.

QUALIFICATIONS

  • Bachelor’s Degree in Computer Science or a related field.
  • 5+ years of experience in data engineering / architecture roles.
  • Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and Postgres/Supabase at scale.
  • Strong ETL / data pipeline engineering in Python, including large-scale, incremental, and change-data ingestion.
  • Experience with enterprise content ecosystems: Share Point, ideally Power Platform / Power Automate.
  • Knowledge representation, taxonomies/ontologies, and versioned/temporal data.
  • Understanding of how data structures feed RAG and LLM retrieval quality.
  • SQL proficiency; experience with orchestration tools (e. g., Airflow) and cloud data services.
  • Familiarity with data governance, security, and privacy practices.
  • Strong documentation and cross-team communication skills.

WHO YOU ARE

  • You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
  • You understand lean thinking
  • You set high standards for code quality, performance/scalability and security and seek continuous improvement
  • You have solid analytical, problem solving and decision-making skills
  • You have customer first mindset and a devotion to customer service
  • You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
  • You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization
  • You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs
  • You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
  • You have prior experience in consulting
  • Prior experience and connections in the Life Sciences industry is preferred

At Appnovation, we recognize that diverse teams are the strongest teams.

Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it!

We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply.

Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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Data Architect / Engineer in London employer: Socket.dev

Genentech is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant city of Boston. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to advancing healthcare through cutting-edge research. Joining Genentech means being part of a team dedicated to making a meaningful impact in the field of oncology, where your expertise will be valued and your contributions will drive significant advancements in patient care.

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Contact Details:

Socket.dev Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect / Engineer in London

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Apply Directly through Our Website

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We think you need these skills to ace Data Architect / Engineer in London

Data Modeling
Graph Databases (Neo4j)
Postgres/Supabase
ETL / Data Pipeline Engineering
Python
SharePoint
Power Platform / Power Automate

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Socket.dev, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Socket.dev. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Socket.dev

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.