Senior Data Engineer

Natobotics

London, UK

18 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Compensation

£70,000.0 - £80,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Amazon Web Services Data Governance Data Integrity Extract Transform Load (ETL) Data Transformation Database Development Python (Programming Language) Pyspark Databricks

Requirements

Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams.

Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.

Must have hands on experience to PySpark, Python,AWS,data modelling

Must have experience in ETL processes

Must have hands on experience in Databricks development

Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures.

Must have hands on experience in SQL development

Excellent Communication skills & Logical thinking

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:57 min

Core technical practices for robust data engineering

Sandhya Menon · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan · World Congress 2026 Europe

1:55 min

Maintaining software and data integrity during execution

Christian Wenz · World Congress 2026 Europe

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

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PySpark - Combining Machine Learning & Big Data thumbnail