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Data engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Kindred Group plc
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

About the Role:

FDJ is on the lookout for a talented Data Engineer to help us become one of the leading data-driven gambling companies. In this dynamic position within our Data Department, you'll collaborate with diverse stakeholders to maximize data utility, enabling insightful reporting and data-driven decision-making.

What You'll Do:
  • Design and implement seamless data ingestion from various sources (Oracle databases, APIs, SFTP files) into our Oracle data warehouse.

  • Develop and optimize advanced PL/SQL queries on large datasets.

  • Create engaging dashboards and reporting solutions using tools like Qlik Sense.

  • Manage both Cloud and On-Prem Data Warehouse solutions.

  • Conduct data investigations to solve challenges for internal and external stakeholders.

  • Set up Apache Kafka streaming jobs for real-time data processing.

  • Engage proactively with stakeholders to meet their reporting needs.

  • Provide support for Data Platforms, including on-call and incident management.

  • Embrace an Agile working environment with open communication, delivering top-notch products and services.

What You Bring:
  • Proven experience with Oracle databases (12c and above), utilizing SQL and PL/SQL.

  • A solid track record (5+ years) in handling large datasets.

  • Strong understanding of Data Warehouse concepts and ETL processes.

  • Expertise in tuning SQL queries and reporting solutions.

  • Familiarity with basic cloud architectures, preferably AWS.

  • A passion for learning new skills and technologies.

Bonus

Skills:
  • Experience with reporting tools like Power BI or AWS Quick Sight.

  • Hands-on experience with cloud data warehouses, such as AWS Redshift.

  • Proficiency with Kafka and programming languages like Python or Java.

  • Familiarity with AWS services like S3, Glue, Lambda, and EMR.

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