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Data Engineer

Confluent

Data Engineer

Confluent

Remote, United Kingdom

·

Remote

·

Full-time

·

1w ago

Required Skills

SQL

Python

Data pipeline design

Cloud platforms

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

ABOUT THE ROLE:

As a Data Engineer in the Data team you will take on big data challenges in an agile way. You will build data pipelines that enable data analysts, data scientists, operation teams and stakeholders across the wider business to make data accessible to the entire company. You are encouraged to think out of the box and utilize the latest technologies. Successful candidates must demonstrate strong technical capabilities, a can-do attitude and the flexibility to work seamlessly with stakeholders and team members located across different international time zones.

WHAT YOU WILL DO:

  • Design, construct, and deploy highly efficient and reliable data pipelines that seamlessly transfer data across various platforms, including Data Warehouses and real-time systems.

  • Develop deep expertise in these data pipelines and manage their Service Level Agreements (SLAs) to ensure optimal performance.

  • Optimize data ingestion, transformation, and storage for performance, reliability and scalability.

  • Collaborate with Data Analysts, Data Scientists and business stakeholders to create internal data products aimed at boosting operational efficiencies across the organization.

  • Implement data quality, observability and governance best practices.

WHAT YOU WILL BRING:

  • Up to 5 years of experience including internship within a technology company.

  • Bachelors or Masters degree in Computer Science, Information Technology or a related field.

  • Competent in SQL and Python. Can implement advanced data manipulation and build highly reliable data ingestion pipelines from scratch.

  • Proven ability & demonstrated flexibility to collaborate effectively with distributed teams and stakeholders across global time zones.

  • Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code.

  • Communicate clearly, especially to technical audience effectively, both verbally and in writing

  • The ability to adapt to new situations and learn quickly is valuable in a fast-paced work environment.

  • Able to collaborate and work well with others can contribute to a positive work environment.

  • Can manage their time effectively and prioritize tasks is more likely to be productive and efficient.

READY TO BUILD WHAT'S NEXT? LET’S GET IN MOTION.

COME AS YOU ARE:

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

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About Confluent

Confluent

A streaming platform based on Apache Kafka that enables companies to easily access data as real-time streams.

1,001-5,000

Employees

Mountain View

Headquarters

$4.6B

Valuation

Reviews

3.8

15 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.9

Career

4.0

Management

3.7

72%

Recommend to a Friend

Pros

Competitive compensation packages

Strong equity/RSU offerings

Interesting and core technical work

Cons

Uncertainty due to IBM acquisition

Pre-IPO risk and equity valuation concerns

Lower total compensation compared to big tech

Salary Ranges

21 data points

Senior/L5

Senior/L5 · Customer Success Technical Architect

1 reports

$248,819

total / year

Base

$191,399

Stock

-

Bonus

-

$248,819

$248,819

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

100%

Experience

Positive 50%

Neutral 50%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

System Design Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience