Data Engineer

Harrington Starr; Greater London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Data Engineer to join their dynamic team. In this role, you will be pivotal in maintaining and enhancing data pipelines, ensuring seamless data integration from diverse sources. You will collaborate closely with internal quant teams and external clients, making data more accessible on the live platform. This is an exciting opportunity for those passionate about data engineering and looking to make a significant impact in a fast-paced environment. If you thrive in agile settings and have a knack for problem-solving, this role is perfect for you.

Qualifications

• Experience in data integration, modelling, and optimisation.
• Strong knowledge of data quality and cloud development.

Responsibilities

• Maintain and expand existing data pipelines using DBT and Snowflake.
• Onboard new data sets from various vendors for real-time processing.

Skills

Data Engineering

Python

AWS

Pandas

NumPy

Snowflake

Databricks

BigQuery

SQL

Agile Environment

Tools

DBT

Airflow

AWS Step Functions

Dagster

Job description

Direct message the job poster from Harrington Starr

Harrington Starr is currently working with a leading payments business that is looking to hire a Data Engineers to help them further grow their already exciting business.

Within this role, you will be responsible for Maintaining, supporting and expanding existing data pipelines using DBT, Snowflake and S3. You will also be tasked with implementing standardised data ingress/egress pipelines coupled with onboarding new, disparate data sets, sourced from many and varied data vendors, covering all asset types and frequencies from daily to real-time.

To be successful in this role you must be able to work and build relationships with internal teams as you will be working with the quant teams to streamline the data to make it easier to use on the platform. You will also be working with external client to help them onboard their data to the live platform.

Key Skills:

• Experience in Data Engineering, including data integration, modelling, optimisation and data quality
• Exceptional understanding of Python
• Experience developing in the cloud (AWS preferred)
• Solid understanding of libraries like Pandas and NumPy
• Experience in data warehousing tools like Snowflake, Databricks, BigQuery
• Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools
• Commercial experience with performant database programming in SQL
• Capability to solve complex technical issues, comprehending risks prior to the circumstance
• Comfortable working in an agile environment, where features may change and evolve quickly
• Prior experience in financial services, specifically capital markets or funds industry

If this sounds of interest please send your CV to [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Finance

• Industries

  Financial Services, Capital Markets, and Investment Banking

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