Data Engineer - Flink

Entasis Partners; England; Remote; GBP 70,000 - 85,000; Full time

Job summary

A leading telecommunications innovator is seeking a Senior Data Engineer to enhance their data infrastructure. The role focuses on building scalable data pipelines, collaborating on machine learning projects, and advocating for best practices in a fully remote setting with benefits like 25 days of holiday and professional development opportunities.

Benefits

25 days holiday

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

Budget for home office & personal development

Qualifications

• 4–6 years of experience as a Data Engineer.
• Strong expertise in Python & SQL with understanding of data storage solutions.
• Experience with Flink or similar data processing frameworks.

Responsibilities

• Engineering scalable data pipelines for IoT time-series data.
• Collaborating with data scientists on complex algorithms.
• Optimising data architecture to support growth plans.

Skills

Python

SQL

Data processing

Time-series data

Machine Learning

DevOps practices

Tools

Flink

Postgres

Kinesis

Spark

DBT

Terraform

GitHub Actions

Job description

Senior Data Engineer (Flink)

*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

Sound good? Apply now!