At a Glance
- Tasks: Join a team to create an inclusive workspace and enhance our data platform.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a vibrant team culture await you.
- Why this job: Make a real impact by working on cutting-edge machine learning projects.
- Qualifications: Extensive software engineering experience with Python and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
You will be responsible for:
- Joining each and every one of your colleagues in creating an inclusive workspace;
- Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform;
- Designing, operating, and improving large scale Databricks/Spark pipelines and workflows;
- Partnering with our data scientists to productionise new data and ML-powered products;
- Leading improvements on the software integration layers between data pipelines and product workflows;
- Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes;
- Acting as a senior technical owner in debugging complex production issues and improving system observability;
- Collaborating with cross-functional teams to support their data infrastructure needs.
Must-have qualifications:
- Extensive hands-on software engineering experience, with a strong track record of delivering production data pipelines or platforms in a mission critical environment;
- Strong experience with Python in production systems;
- Experience integrating ML models into reliable production data pipelines, including batch inference and model serving patterns;
- Experience building and operating Databricks (or Spark) based pipelines;
- Experience with SQL;
- Experience with at least one major cloud infrastructure provider (GCP, AWS, Azure);
- Experience with supporting business-critical systems with on-call ownership;
- Passion, energy, and excitement for progressive and philanthropic causes and all things digital.
Nice-to-have qualifications:
- 5+ years of professional experience;
- Experience building data-intensive applications and warehouses with Databricks;
- Experience with integrating production level applications with AWS;
- Experience supporting ML training or inference pipelines;
- Experience working with cross-functional teams in a dynamic environment.
Senior Software Engineer, Data Platform employer: twentysix
As a Senior Software Engineer at our company, you will thrive in an inclusive and collaborative work environment that values innovation and personal growth. We offer competitive benefits, opportunities for mentorship, and a commitment to professional development, all while working on cutting-edge data platforms in a vibrant location that fosters creativity and teamwork. Join us to make a meaningful impact in the tech industry while being part of a passionate team dedicated to progressive causes.
We think you need these skills to ace Senior Software Engineer, Data Platform
Software Engineering
Data Pipeline Development
Machine Learning Integration
Databricks
Apache Spark
Python
SQL
