At a Glance
- Tasks: Build and maintain data pipelines using Fivetran and AWS infrastructure.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Work in a collaborative environment with a focus on security and best practices.
- Why this job: Join a team that shapes the future of data and AI integration.
- Qualifications: Strong Python and SQL skills with experience in data pipelines.
The predicted salary is between 51750 - 63250 £ per year.
Build and maintain ingestion pipelines into the data warehouse using Fivetran and custom pipelines.
Own data orchestration to keep data moving on schedule and recover cleanly from failures.
Build and manage AWS-based data infrastructure as code with Terraform.
Build enterprise-grade customer data pipelines and connectors for HR, payroll, and other systems.
Reliably and securely move customer data in and out at enterprise volumes.
Connect data to AI agents and services, including through MCP connectors.
Work with product and stakeholders to scope problems and agree on simple, scalable solutions.
Build according to security practices such as the OWASP Top 10 and AWS Well-Architected Framework.
Requirements
- Strong experience with Python and SQL.
- A few years building and running production data pipelines that other people relied on.
- Comfortable with infrastructure as code, ideally Terraform.
- Hands-on AWS experience, for example Lambda, ECS, Glue, S3, and RDS.
- Good grasp of ETL/ELT and orchestration.
- Experience building or running data integrations and connectors is a plus.
- Solid software engineering fundamentals, including clean code, sensible design, and reliable tests.
- Security awareness when building applications and configuring infrastructure.
- Knowledge of enterprise data expectations.
- Experience with customer-facing HRIS or payroll integrations via SFTP and in EDI format is nice to have.
- Experience with MCP server development or preparing data for AI agents is nice to have.
- Eligibility to work in the UK without visa sponsorship.
- Ability to commute to the London offices at least 3 times per week; Monday, Tuesday, and Thursday are mandatory.
Core Competencies
Demonstrates expertise in building and maintaining data ingestion pipelines using Fivetran and custom solutions, with a strong focus on AWS infrastructure as code using Terraform. Proficient in Python and SQL, with a solid understanding of ETL/ELT processes and security best practices.
Software Engineer, Data in London employer: Ben
At Jackson Hewitt, we pride ourselves on being an excellent employer that values flexibility and employee growth. With competitive salaries, a supportive work culture, and comprehensive training programs, we empower our tax preparers to excel in their careers while making a meaningful impact in their communities. Join us for a rewarding opportunity where taxes can be fun, and your professional success is championed every step of the way.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Data in London
✨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 Ben 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 Ben.
✨Tap into Online Developer Communities
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✨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 Ben 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 in London
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 Ben.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ben 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 Ben
✨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 Ben 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.
