Data Platform Engineer

Morson Group
Bryning-with-Warton, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 154K

Job location

Bryning-with-Warton, United Kingdom

Tech stack

API
Google BigQuery
Cloud Computing
Databases
Data Infrastructure
Data Security
Data Systems
Data Warehousing
NoSQL
Query Optimization
SQL Databases
Data Streaming
Snowflake
Apache Nifi
Redshift

Job description

As a Data Platform Engineer in a highly regulated environment, you will be responsible for designing, building, and maintaining secure and scalable data infrastructure that supports both cloud and on premises platforms. You will play a key role in ensuring that all data systems comply with industry regulations and security standards while enabling efficient access for analytics and operational teams. A strong command of Apache NiFi is essential for this role. You will design, implement, and maintain data flows using NiFi, ensuring accurate, efficient, and secure data ingestion, transformation, and delivery. You should be adept at identifying and resolving issues within NiFi flows, managing performance bottlenecks, and implementing robust error handling strategies. You'll work closely with cross-functional teams including data architects, compliance officers, and cybersecurity specialists to integrate data from various systems such as databases, APIs, and cloud platforms.

Requirements

As an experienced Data Platform Engineer, your skills and experience may include;

  • Strong experience of Apache NiFi
  • Experience designing and optimizing data flows for batch, real-time streaming, and event-driven architectures.
  • Ability to identify and resolve flow issues, optimize performance, and implement error-handling strategies.
  • Optional scripting skills for creating custom NiFi processors.
  • Knowledge of data modelling, replication, and query optimization.
  • Hands-on experience with SQL and NoSQL databases is desirable.
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial.
  • Data Platform Management
  • Comfortable operating in hybrid environments (cloud and on-prem).
  • Experience integrating diverse data sources and systems

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