Product Manager
To date, the team consists of 40+ people across software engineering, product & design, techops, and is expected to double by the end of the year. Being part of Dialectica’s Technology Team you will have the opportunity to help rebuild the tech product according to the requirement of our internal and external clients and share the company’s vision to roll out more information services software products in the future.
Technologies we use:
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.
As a Data Engineer in Dialectica you will:
- 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
We have seen that people who successfully fit in this position have:
- 4+ 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.
- 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.
- 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
Based on values we are looking for someone with the following traits:
- Aiming to deliver unprecedented value
- Strong sense of caring for their teams, to provide guidance and support
- Act as culture and brand ambassadors for Dialectica
- Seeking support and guidance to achieve mastery and great quality results
- Having ownership of their responsibilities and not being afraid of getting things done
- Turning problems into opportunities
- Being open and honest with their team and themselves
- Constantly improving through self-learning and knowledge sharing
Fluency in English is a must
You feel you might not be experienced enough for the role or your experience is on different technologies?
Our team welcomes applicants who can demonstrate their eagerness to learn fast and cover any gaps in their experience or skillset and who are very interested in expanding their knowledge.
Therefore, do not hesitate to drop us your application!
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, Udemy courses and many others!)
- Equipment of your choice
- Hybrid work model & extra personal/flex days and paid volunteer days a year for your favorite cause
- Company sponsored team-bonding events
- Weekly health & wellness activities (e.g. basketball, football, yoga, running), gym discounts, healthy breakfast, snacks and beverages
- Entrepreneurial culture and amazing coworkers!
About Dialectica
Founded in 2015, Dialectica is an information services start-up that innovates how business professionals share knowledge and gain access to primary research worldwide. Dialectica partners with the world’s leading investment and consulting companies, enabling them to collect real-time information and market insights from industry experts across markets, industries, and regions.
Every day Dialectica works on its aspiration to be a truly industry-leading organization by attracting and cultivating ambitious talent based in Athens, London, New York,Montreal and Vancouver. We plan to have a strong presence across the world with more than 1,000 team members in the coming five years.
Dialectica has been recognized as one of Europe’s fastest-growing companies for 2021 by the Financial Times and as one of the Best Workplaces and a top employer in Greece in 2021 and 2020 by the Great Place to Work Institute.
Application: Click here to apply for this job opportunity
