At a Glance
- Tasks: Build and maintain data platforms, pipelines, and internal tools for customer analytics.
- Company: Join HENI, a cutting-edge art services business merging art and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Make an impact in the art world by leveraging data to drive decisions.
- Qualifications: Strong Python skills and experience with data engineering and analytics.
The predicted salary is between 50000 - 70000 £ per year.
About Us
HENI is an international art services business working with leading artists and estates across printmaking, marketplaces for physical artworks, NFTs, publishing, digital, video production, art research and analysis. HENI is at the cutting edge of art and tech using the latest and best technologies, to make art accessible to audiences worldwide.
Position Overview Summary
We are looking for a Software Engineer to join our Data team. You will build and maintain the data platform that powers customer analytics — pipelines, internal tools, and integrations — while contributing to analytical work that supports commercial teams and C‑suite decision‑making. You will also play a key role in broader data initiatives across the organisation, working with the wider team to shape and deliver many diverse projects.
Key Responsibilities
- Data Engineering & Platform
- Build and maintain data pipelines
- Develop internal data applications using Streamlit or Dash for ad‑hoc analysis and customer research
- Implement data quality checks and validation to ensure pipeline reliability
- Support data architecture decisions and contribute to broader data platform improvements
- Integrate third‑party data sources (e.g. HubSpot, Facebook Business) into the customer data platform
- Respond to ad‑hoc data requests from across the business
- Contribute to HENI News data initiatives
- Customer Analytics
- Write analytic SQL queries to support accounts and client liaison teams
- Build and maintain dashboards in Apache Superset for self‑serve business intelligence
- Support the creation of Customer Data Reports for C‑suite stakeholders
- Contribute to customer analytics: segmentation, retention analysis, and behavioural insights
Required Technical Skills
- Software Engineering
- Strong Python skills — the primary language for all data work
- Git and version control workflows
- Automated testing: unit tests, integration tests, and data quality tests
- Writing clean, maintainable, well‑structured code
- Experience building and maintaining production applications or services
- Data Processing
- Experience with distributed data processing frameworks (e.g. PySpark, Spark SQL)
- pandas and numpy for data manipulation and analysis
- SQL for analytical queries and database interaction
- Cloud & Infrastructure
- Experience with cloud‑based data pipeline tools (e.g. AWS Glue, Azure Data Factory, GCP Dataproc)
- Familiarity with cloud object storage (e.g. S3, GCS, Azure Blob) and columnar data formats (e.g. Parquet)
- Familiarity with Infrastructure as Code, containerization (Docker), CI/CD
- Experience with container orchestration (e.g. Kubernetes, Docker swarm, AWS ECS)
- Visualisation & Reporting
- Experience with BI/dashboarding tools (e.g. Superset, Looker, Metabase)
- Experience building internal data tools or apps (e.g. Streamlit, Dash)
Nice-to-Have Skills
- Experience with statistical modelling and/or machine learning (e.g. scikit‑learn, scipy)
- Experience with CRM/marketing platform APIs (e.g. HubSpot, Salesforce or similar)
- Experience integrating LLM APIs (e.g. Gemini/Vertex AI, OpenAI/ChatGPT) to build sophisticated data products
- Experience with data quality frameworks (e.g. Great Expectations or similar)
Our Stack
- AWS (S3, RDS, Glue, ECS, EC2)
- Airbyte, Apache Airflow
- Streamlit, Apache Superset
- Delta Lake, PostgreSQL
- Docker, Kubernetes, AWS CDK
- Git
Programming Languages
- Python (primary)
- SQL (strong)
Education & Experience
- Master’s degree in Computer Science, Software Engineering, Data Science, Engineering or a related quantitative discipline
- 2‑3 years of industry experience in a software engineering, data engineering, or similar technical role
- Experience working with data pipelines
- Comfortable working across the full stack from data ingestion through to internal tools and dashboards
- Experience presenting technical work to non‑technical stakeholders
- Able to work autonomously while coordinating with a small data team
Software Engineer - Data employer: HENI
HENI is an exceptional employer that fosters a dynamic work culture at the intersection of art and technology, providing employees with the opportunity to engage in innovative projects that make art accessible globally. As a Software Engineer in our Data team, you will benefit from a collaborative environment that encourages professional growth through diverse data initiatives, while enjoying access to cutting-edge technologies and a supportive team dedicated to your success.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Data
✨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 HENI 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 HENI.
✨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 HENI.
✨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 HENI 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 Software Engineer - Data
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 HENI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at HENI 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 HENI
✨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 HENI 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.
