Data Engineer
Dialectica
Athens
πριν από 6 μέρες

About Dialectica

Founded in 2015, Dialectica is one of the fastest growing knowledge sharing businesses, currently employing 250+ professionals in London, Athens, and Montreal.

At Dialectica, we are on a mission to achieve unparalleled customer recognition as the most trusted knowledge sharing platform in the world and to build a truly great organization that attracts and cultivates top talent.

Our clients are typically large institutional investors, such as private equity firms and hedge funds, and strategy consultancies.

We differentiate by driving research through deep evaluation of client needs and conducting bespoke research in niche markets.

We are recognised as the #1 expert calls firm for quality and this focus has enabled us to achieve rapid growth in the five years since our founding.

Our Technology team designs and engineers complex proprietary software that automates and optimizes the delivery of our market leading services.

Clients are typically large institutional investors such as private equity firms, hedge funds, and strategy consultancies.

They turn to us to support their strategic decision making by connecting them with industry experts with extensive knowledge and experience of industries or markets of interest.

About the role

We are looking for a Data Engineer to expand and optimize our data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

You will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing products.

Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data’ technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Product, Engineering and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Requirements

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing big data’ data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data’ data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • Experience using the following software / tools is a plus : Experience with relational SQL, including Postgres Experience with data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services : EC2, EMR, RDS, Redshift Experience with object-oriented / object function scripting languages : Python, Java, C++, Scala, etc.

    Benefits

  • Competitive base salary with additional performance incentives
  • Coverage under the company’s collective health insurance plan
  • Learning and development opportunities (e.g. onboarding, Mini-MBA, on-the-job training, and many others!)
  • Reward and recognition programs
  • Company sponsored team-bonding events
  • Weekly health and wellness activities (e.g. basketball, football, yoga, running)
  • Free snacks and beverages
  • Entrepreneurial culture and amazing coworkers!
  • Αναφορά αυτής της εργασίας
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