At a Glance
- Tasks: Own and evolve data pipelines for a leading SaaS security platform.
- Company: Obsidian Security, a trusted name in enterprise security solutions.
- Benefits: Hybrid working, supportive team culture, and opportunities for skill growth.
- Other info: Collaborative environment with exposure to modern data tools and cloud platforms.
- Why this job: Make a real impact on data foundations used by global enterprises.
- Qualifications: 3-6 years in data engineering, strong SQL, and Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
About The Role
Obsidian Security is the leading SaaS security platform, trusted by global enterprises. As a Data Engineer at Obsidian, you will:
- Own and evolve the data pipelines behind one of Obsidian's core products.
- Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale.
- Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores.
- Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages.
- Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers.
- Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality.
- Champion data correctness, observability, and clean, testable transformations.
- Participate in code reviews and technical discussions to continuously raise engineering standards.
What’s In It For You
- Own the data foundations of a core product used by enterprises worldwide.
- Work alongside a talented, supportive team in a collaborative culture.
- Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows.
- Gain exposure to a cloud-agnostic platform spanning AWS and GCP.
- Be part of an innovative, growing company where your work makes a real impact.
- Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester.
Required Skills And Experience
- 3–6 years of experience in a data engineering or software engineering role.
- Strong SQL and hands-on experience building production data pipelines.
- Experience with a modern data orchestrator such as Dagster, Airflow, or similar.
- Proficiency with a data transformation framework such as dbt.
- Proficiency in Python.
- Familiarity with Git and CI/CD tooling such as GitLab CI/CD.
- Familiarity with relational databases (e.g., Postgres) and cloud data warehouses.
- A bias toward data quality, testing, and maintainable, well-documented work.
- Experience collaborating in a team environment and adapting to changing requirements.
Desirable Experience
- Experience with Databricks/Spark or other large-scale analytics platforms.
- Exposure to event/streaming systems such as Kafka.
- Existing Go experience for occasional API changes.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Exposure to LLM-assisted data workflows.
- Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS).
- Exposure to observability tooling such as Grafana or Prometheus.
Data Engineer in Salford employer: Obsidian Security
At Obsidian Security, we pride ourselves on being an exceptional employer, offering a collaborative culture where innovation thrives. As a Data Engineer, you'll have the opportunity to own critical data foundations for a leading SaaS security platform while working alongside a talented team in a hybrid environment that supports both remote and office work in Cheltenham and Manchester. With a strong focus on employee growth, you will enhance your skills with modern data tools and contribute to impactful projects that shape the future of enterprise security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Salford
✨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 Obsidian Security!
✨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 Data Engineer at Obsidian Security.
✨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 Obsidian Security.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Obsidian Security, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Salford
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 Obsidian Security, 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 Obsidian Security. 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 Obsidian Security
✨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 Obsidian Security!
✨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.
