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Senior Data Engineer

Clutch Canada

City Of London

On-site

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading technology firm in London is seeking a Senior Data Engineer to create components of a modern data platform. You will implement critical data pipelines and improve infrastructure while collaborating with various teams. The ideal candidate will have knowledge of programming languages, experience with relational databases, and strong analytical skills. This role promotes an inclusive work environment and encourages applications from underrepresented communities.

Qualifications

  • Knowledge of programming languages such as Java and Python.
  • Hands-on experience with relational databases like PostgreSQL.
  • Familiarity with data modeling and governance concepts.

Responsibilities

  • Apply automation mindset and DevSecOps principles to data systems.
  • Integrate with APIs of 3rd party data sets.
  • Collaborate with product engineering and data analytics teams.
Job description
Location

London

Employment Type

Full time

Department

Engineering

The Role

As a Senior Data Engineer, you will create components of a modern data platform that will be the foundation of Taptap Send’s decision-making ability. The systems you help create and the problems you help solve, will be pivotal to the success of TTS.

This role is key to the success of TTS. You will play a critical part in the functioning of every team, with stakeholders ranging from customer success, growth, markets, product, and finance.

The Data Engineer will be implementing critical data pipelines, and innovating and improving infrastructure to support these pipelines while advancing best practices in privacy and data and information security.

Responsibilities
  • Apply automation mindset and DevSecOps principles to data systems and architectures
  • Integrate with APIs of 3rd party data sets to enable data pipelines and reporting use cases
  • Build data systems and pipelines using SaaS systems like AWS and DBT Cloud
  • Build solutions to various business objectives using your technical skills and your extensive understanding of the TTS data landscape
  • Collaborate with the product engineering team and the data analytics team, serving as a bridge between the two
  • Analyse and organise raw data
  • Prepare data for prescriptive and predictive modelling
  • Explore ways to enhance data quality and reliability
  • Collaborate with data scientists and analysts on several projects
Requirements
  • Knowledge of programming languages (e.g. Java, Python)
  • Hands-on experience with relational databases (like PostgreSQL) and data warehouses (like AWS Redshift)
  • Familiar with data modeling and data governance concepts, and agile methodologies
  • Familiarity with industry toolsets: Stitch, DMS, etc…
  • Statistics knowledge, analytical skills, and an understanding of big data technologies
  • Previous experience as a data engineer or in a similar role
  • Technical expertise with data models
  • Great numerical and analytical skills
  • Experience with event-driven and streaming data architectures (using technologies such as Apache Spark, Flink or similar)
  • Degree in Computer Science, IT, or similar field; a Master’s is a plus or four years\' equivalent experience
Taptap Values

Impact first

Team next

Accept reality

Propose solutions

Win with grit

Be proactively candid, with yourself and others

Love the particular

Own it

Create positive energy

Maybe, even have fun

Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.

If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.

Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

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