Data Engineer - Flink

JR United Kingdom; England; Remote; GBP 65,000 - 85,000; Full time

Job summary

A leading telecommunications innovator seeks a Senior Data Engineer to enhance their data infrastructure. This remote role involves designing and building a data-driven machine learning platform and optimizing data architecture. Candidates should have 4-6 years of relevant experience and a passion for sustainability.

Benefits

25 days holiday

Pension (company: 4%, individual: 5%)

Budget for home office & personal development

Professional development opportunities

Mentorship

Qualifications

• 4-6 years of experience as a Data Engineer.
• Strong expertise in Python & SQL and data storage solutions.
• Experience with batch & stream data processing technologies.

Responsibilities

• Engineering scalable data pipelines for IoT time-series data.
• Collaborating with data scientists on ML-driven models.
• Implementing technologies to extract deeper insights.

Skills

Python

SQL

Data Storage Solutions

Stream Data Processing

DevOps Practices

AWS Ecosystem

UNIX Scripting

Machine Learning

Tools

Flink

Kinesis

Spark

Postgres

Timescale

DBT

Terraform

GitHub Actions

Job description

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*Unfortunately, we are unable to offer visa sponsorship for this role*

• Are you passionate about data engineering, sustainability, and high-impact problem-solving?
• Do you have experience working with stream data processing using Flink?

Our partner is an innovator within telecommunications and is looking for a Senior Data Engineer to play a critical role in shaping their data infrastructure as they scale. The Senior Data Engineer will play an integral part in their software and data team, owning the architecture, design, and build of their data platform.

Why This Role?

• Work in a fast-moving scale-up firm tackling real-world sustainability challenges within the telecommunications industry.
• Own the architecture, design and build of an innovative data-driven machine learning platform
• Join a fully remote team (with meetups in London) that values flexibility, family-first culture, and professional growth.

What You'll Be Doing:

• Engineering scalable data pipelines to support ML-driven insights from IoT time-series data.
• Collaborating with data scientists to productionise complex algorithms for robust, high-performance models.
• Researching and implementing new data technologies to extract deeper insights.
• Optimising data architecture and access patterns to support the firm's growth plans.
• Advocating for best practices, continuous learning, and the adoption of new technologies.

What You Bring:

• A minimum of 4–6 years of experience as a Data Engineer
• Strong expertise in Python & SQL with a deep understanding of data storage solutions (Postgres, Timescale, DBT).
• Experience with batch & stream data processing (Flink, Kinesis, Spark).
• Familiarity with DevOps practices (CI/CD, Terraform, GitHub Actions).
• AWS ecosystem knowledge & UNIX scripting skills.
• A passion for time-series data, ML-driven solutions, and scaling sustainable technology.

What’s in It for You?

• Join a market-defining scale-up in a pivotal growth stage.
• Work on mission-driven projects that reduce environmental impact.
• Enjoy remote-first flexibility while staying connected with a collaborative, supportive team.
• Professional development opportunities, training, and mentorship.

Location: Remote (with occasional meetups in London)

Salary: Up to £85,000 + Bonus (up to 10%)

Benefits: 25 days holiday | Pension (company: 4%, individual: 5%) | Budget for home office & personal development