Data Engineer

Smartedge Solutions; Utrecht; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Smartedge Solutions is seeking a Data Translator / Data Engineer in Utrecht, Netherlands, with hybrid work. You translate marketing needs into data points, build queries and models using SQL, Databricks and DBT, and ensure the right data reaches marketing systems and campaigns.

You will bridge marketing and technical data teams, shape data quality, and contribute to marketing data strategy. Strong English and Dutch skills preferred.

Qualifications

• Translate marketing questions into data points and technical logic.
• Build queries and data models using SQL, Databricks and DBT.
• Work in a multidisciplinary team translating needs into data solutions.
• Experience with Databricks and DBT is essential; knowledge of marketing data helps.

Responsibilities

• Translate functional marketing needs into concrete data points and technical specifications.
• Analyse which customer attributes are needed to define a marketing target group.
• Build logic and queries that deliver data to marketing systems and tech teams.
• Coordinate needs with marketers, data professionals, and business stakeholders.

Skills

Analytical thinking

Collaboration

Marketing context

Data translation

Education

Higher professional education in data/related field

Tools

SQL

Databricks

DBT

PySpark

Python

Job description

Smartedge Client is looking for an individual to help with their Data Engineer@ Utrecht Netherlands (Hybrid Working)

Job Description :

• As a Data Translator / Data Engineer at Client, you work in a multidisciplinary team responsible for customer and campaign data. You translate functional marketing needs into technical logic and build data points for Client’s marketing systems. You use tools and technologies including SQL, Databricks and DBT.
• Translate marketing questions into customer attributes, data points and technical logic;
• Build queries and data models using SQL, Databricks and DBT;
• Ensure that marketing teams have the right data to create relevant and personalised customer offers.
• As a Data Translator / Data Engineer, you know the secrets of translating marketing needs into usable data and technical solutions.
• You act as the bridge between marketing and technical data specialists. You uncover the underlying need, determine which customer attributes are required and translate these into logic that can be implemented in the systems.
• Translate functional marketing needs into concrete data points and technical specifications;
• Analyse which customer attributes and relationships are needed to define a marketing target group;
• Build logic and queries that deliver data correctly to technical teams and marketing systems;
• Coordinate needs and solutions with marketers, data professionals and business professionals;
• Help the team improve data quality and data management.
• For example, marketing may want to promote a specific product to a particular customer group. You determine which customer attributes are required, how they relate to each other and how the corresponding logic should be built into the systems.
• SQL;
• Databricks;
• DBT;
• Data modelling and data engineering;
• Data quality and data management;
• Marketing technology;
• PySpark and Python as additional technical skills.
• Higher professional education level of thinking and working;
• At least 3 years of relevant experience with SQL or a comparable programming language;
• Knowledge of data modelling and data engineering;
• Experience with Databricks and DBT;
• An understanding of marketing and the work of a marketer;
• The ability to translate functional questions into technical logic;
• Strong analytical and logical thinking skills;

Good command of English; An open and collaborative attitude.

• Experience with marketing technology;
• Knowledge of data quality and data management;
• Experience with PySpark and Python;
• Command of Dutch;
• Knowledge of banking products and financial customer data;
• An eagerness to learn and openness to feedback.
• You discuss requirements with marketing stakeholders, explore the underlying need and determine which customer attributes and data are required. You then translate this information into technical logic, queries and data points for the marketing systems.
• You will work with SQL, Databricks and DBT.
• PySpark and Python are also used within the team and are considered

If this sounds like a role you would be interested in or if you know someone in this field.

Connect with me or email me at [e-mail]

Alternatively, you can call me on Tel: [phone].