Data Engineering Manager
Dialectica, Greece
Job Description
About Dialectica
Dialectica is an information services company that shapes better decision-making worldwide. We partner 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.
Guided by our mission to achieve unparalleled customer recognition, we are building the most trusted and innovative knowledge-sharing platform in the world. Every day we work on our 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 1,200 team members in the coming five years.
Dialectica has been recognized as one of Europe’s fastest-growing companies for 2022 and 2021 by the Financial Times as well as the 9th Best Workplace in the region. It is also named a Best Workplace and a top employer in Greece in 2022, 2021 and 2020 by the Great Place to Work Institute.
About the Tech Team
Technology powers everything we do at Dialectica from communicating with clients and finding the most relevant expert profiles in just a few minutes to indexing and categorizing thousands of pieces of information every day. To do so, we have built our own proprietary web application that automates and optimizes the delivery of our market leading services.
To date, the team consists of 70+ people across Software Engineering, Product amp; Design, TechOps, and is expected to grow further in 2024. Being part of Dialectica’s Technology Team you will have the opportunity to help build tech products according to the requirements of our internal and external clients and share the company’s vision to roll out more information services software products in the future.
About the role
We are looking for a Data Engineering Manager to lead a team of Data Engineers that aims 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 engineer with experience in building data pipelines and data systems who also has experience and enjoys managing people. 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 while at the same time leading the team in these efforts and helping them grow professionally.
The leaders we are looking for display empathy and can strike a balance between the company’s and their direct reports’ priorities and aspirations. They can also be at the frontline, taking over hands-on tasks and contributing significantly by writing code of their own.
As a Data Engineering Manager in Dialectica you will:
- Manage members of you team, coach them and be responsible for their career growth
- 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 Science team members that assist them in building and optimizing our product into an innovative industry leader.
Requirements
We have seen that people who successfully fit in this position have:
- 6+ years of experience in a Data Engineer role and 2+ years in managing one or more teams
- Strong Knowledge of Data Management, Data Warehousing concepts (Dimensional Modeling, Data Marts) and Database Technologies.
- Strong understanding of modern approaches to data engineering and the best approach to solve data problems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- ETL/ELT processes (Knowledge of DBT is a plus)
- Working experience in Python.
- Hands-on experience in Production Data Lake architecture in cloud and Big Data implementations in gener