At a Glance
- Tasks: Design and develop a cutting-edge data platform to empower decision-making.
- Company: Join Beamery, a forward-thinking tech company transforming the future of work.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous improvement.
- Why this job: Be a key player in shaping innovative data solutions that drive business success.
- Qualifications: Experience in data engineering, architecture, and mentoring teams.
The predicted salary is between 70000 - 85000 £ per year.
ABOUT BEAMERY
With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies.
We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people.
About the Opportunity
The Data Engineering Team at Beamery is collaborating with stakeholders across the company to enable faster and better decision-making, helping us serve more customers with continuously improving solutions. We ingest data from multiple sources into a centralised data infrastructure, combine it to generate meaningful reports, and deliver powerful insights that empower everyone to excel in their roles.
We are expanding our team and seeking a Senior Data Engineer in data who is passionate about solving complex problems in data processing and modelling. This role offers the opportunity to enhance our newly built data platform, a key initiative that will support Beamery's ambition to provide best-in-class self-service capabilities around reporting and underpin our AI strategy.
In this role, you'll leverage state-of-the-art technologies and develop innovative methods to derive actionable data for our stakeholders and customers. You'll play a pivotal part in enabling our product teams to generate insights that drive business success and enhance user experiences across Beamery and beyond.
Working closely with stakeholders from our Engineering, Product, and Design (EPD) departments, you'll directly contribute to creating world-class experiences for both internal and external customers. This is an exciting role that will stretch your knowledge and curiosity, offering you the chance to learn new skills and collaborate with a team of highly skilled and motivated data professionals.
What will you be doing at Beamery?
- Architect, Design, and Evolve a World-Class Data Platform: Take ownership of the architecture and development of a cutting-edge data platform, using state-of-the-art technologies and tools. You will lead the design and implementation of scalable, high-performance ETL data pipelines and storage solutions, ensuring operational excellence, uptime, and data correctness across all pipelines.
- Lead the Development of the Analytics and Semantic Layer: Build and maintain the end-to-end analytics layer, developing robust data models and transformations to drive business intelligence. This includes defining and maintaining core business metrics, feature usage signals, as well as creating a clean, scalable semantic layer to support advanced analytical and AI applications.
- Drive Self-Service Data Empowerment: Develop and manage high-quality data products that empower other teams to access reliable insights quickly. You will implement proactive monitoring and alerting systems to ensure data quality and immediately address anomalies in key metrics or data streams.
- Mentor and Guide a Team of Data and Software Engineers: Act as a technical leader within the team, providing mentorship to data and software engineers at all levels. You will help set best practices for coding, data modelling, and pipeline design, developing a culture of continuous improvement and technical excellence.
- Collaborate and Influence Cross-Functionally: Partner with other cross-functional teams, to deeply understand data needs. You will be expected to translate complex requirements into actionable plans, effectively communicate data-led recommendations, and ensure project outcomes drive measurable business success.
- Pioneer AI-First Development Practices: Champion modern, high-velocity development practices, leveraging advanced development and coding tools to increase velocity. You will write clean, structured, and scalable code and help cultivate an engineering environment focused on technical excellence and rapid iteration.
- Influence Key Business and Technical Decisions: Leverage your expertise to shape the strategic direction of Beamery’s data platform, making informed recommendations that align with business goals. You will ensure that data is used effectively to guide critical decisions and that the platform continues to support rapid growth and scalability.
What we're looking for
We are looking for a senior data engineer with significant experience in building and maintaining data platforms based around dbt, tailored for internal and external use. The ideal candidate has a proven track record of designing robust data architectures, including data warehousing, data lake implementations, and both real-time and batch processing systems.
As a technical leader, you are adept at mentoring and guiding engineering teams, fostering the adoption of best practices while promoting continuous improvement. You have a deep understanding of data architecture, schema design, and the challenges involved in building data-intensive applications that are scalable, highly available, and fault-tolerant.
You are comfortable operating in production: diagnosing issues, reasoning about how a single upstream failure can cascade through downstream systems and customer-facing outputs, and making sound judgment calls about remediation under time and customer pressure. You understand the tradeoffs involved in designing data systems for scale and reliability, including how to keep large, multi-tenant, and distributed data systems consistent, isolated, and trustworthy.
Previous professional experience with the following:
- Data and software engineering experience implementing and maintaining backend systems to build reliable data infrastructures covering some of the following concepts:
- Data transformations using dbt
- Data storage technologies (SQL / NoSQL)
- Schema design and multi-tenant data isolation
- Back-end engineering (NodeJS / Python / Java / C#)
- Data Pipelines
- Experience with streaming and CDCs
- Data Modelling (SQL)
- Data validation and quality assurance practices
- Cloud-native, containerised, or automated batch processing systems
- Monitoring & Alerting
- Incident response and RCA for data systems
- Infrastructure as code (Terraform)
- Containerisation (Docker, Kubernetes)
Communication. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to Product and Engineering Teams as well as business audiences.
Our Data Stack
Here’s what our data stack currently looks like. As a fast-moving scale up, this will change as we grow and you will be directly contributing to these changes. The ability to learn new tools is more important than previous experience.
- DBT for data modelling and transformation
- BigQuery data warehouse
- Kafka for data streaming between systems
- PostgreSQL & Mongo for databases
- Node.JS on the backend
- Kubernetes
- Python
- Segment for customer centric event collection
Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status.
If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com.
Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.
Senior Data Engineer in London employer: Beamery
Beamery is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech and data sectors. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact in the world of data and AI while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Beamery!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Beamery.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Beamery.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Engineer in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Beamery, 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 Beamery. 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 Beamery
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Beamery!
✨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.
