KARIERA

Head Of Data Engineering

HL Tech is a modern technology centre supporting software development and strategic digital transformation of the British financial market giant, Hargreaves Lansdown. Hargreaves Lansdown is the UK’s number one platform for private investors, looking after £132.3 billion of savings and investments on behalf of over 1.7 million clients.

HL Tech was founded in July 2017 in Warsaw and currently employs 80 of the best IT experts in their field, who focus on clean code, autonomy in projects, customer needs, best practices and good design. At HL Tech, we create a space for innovation and development based on the culture of knowledge sharing, constant learning, feedback and friendly atmosphere.

As Head of Data Engineering, you will be part of the Senior Data Leadership team under the Chief Data Officer. You will be a leading role in defining our technology roadmap for a new cloud data platform as well as establishing the data engineering team, operating model and service catalogue that will support our data and analytics strategy. Data is part of a much broader investment in our digital backbone; we’re transforming the entire way we think about our application landscape adopting a microservice, domain driven architecture. We’ll integrate with these new microservices and our heritage architecture through streaming events, leveraging the latest in cloud technologies and AI to create new and novel data products as well as support traditional reporting requirements.

Key Duties and Responsibilities

Responsible for defining and establishing the data engineering team, operating model and organisational structure
Be an inspiring leader, mentor and assist the development of the data engineering team
Contribute to the roadmap and design of HL’s strategic data platform
Responsible for defining data engineering development and technology standards
Accountable for the delivery of data platform and data services to productionise Data Science models and architectural patterns for Software Engineering
Leading the development of streaming systems and manage large data sets
Responsible for ensuring that all data engineering conforms to data management and software engineering standards.
Responsible for establishing the data platform service catalogue, defining and operating within appropriate SLA’s

Requirements

Must have:

5+ years’ experience as a Head of Data Engineering
Experience in leading teams (10-15 people)
Experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets
Experience delivering on/prem and cloud data platforms (AWS stack is strongly preferred)
Experience with large-scale streaming systems (Kafka, Kinesis, etc.)
Proficiency with Big Data systems (Spark, Hadoop, Pig, etc.)
Proficiency with SQL and NoSQL databases (Redshift, Athena, Snowflake, MongoDB, Neo4J, etc.)
Experience using Python, Java, or Scala for data processing
Agile methodologies and continuous delivery/continuous integration pipelines and technologies
Familiarity with DataOps methods and data quality improvement techniques
Experience in establishing and supporting ML pipelines in production
Excellent Director level stakeholder management and influencing skills
Very good command of Polish&English

Benefits

Copy rights (50% tax relief due to creative type of work)
PPE (4% employer contribution without any additional cost nor employee contributions required)
Annual bonus depending on performance
Conference & Training budget
English lessons with native speakers
Private health care & Life insurance
MyBenefit Cafeteria (benefits platform)
2 additional days for volunteering events
Team events
Buddy programme
Opportunity to grow according to your level of expertise
Working with new technologies and a multi-diverse team
Many opportunities to share knowledge and ideas
In-house Trainings