Analytics Engineer

Abbott; Netherlands; On-site; EUR 45,000 - 65,000; Full time

Job summary

Abbott is seeking a Data Engineer in the Netherlands to develop, test, and maintain data architectures and pipelines supporting scalable data flow and analytics.

You will work with SQL, Python, SAS, and R to build data sets, ensure data quality, and enable reliable data storage and processing in a collaborative team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science or related field.
• 1+ year work experience or equivalent in data engineering or data analytics.
• Experience with database applications and basic programming in SQL, SAS, R or Python.

Responsibilities

• Assists in deployment and monitoring of data pipelines and workflows under guidance from senior engineers.
• Supports basic data quality initiatives & integration through testing and validation processes.
• Builds basic analytic data sets for exploration and modeling.
• Assists in implementing data security measures, compliance, standards, and policies.
• Documents data processes, procedures, and workflows for knowledge sharing.
• Assists with data pipeline development, data cleaning and preprocessing.
• Collaborates with Sr Engineers to translate business needs into analytical/technical requirements.
• Assists in scoping, planning and delivering projects.
• Participates in data collection and cleansing to automate data processes.
• Understands big data storage and distribution systems and related tools.

Skills

Data pipelines

SQL

Python

ETL

Data warehousing

Big data

Data quality

Informatics

Statistics

Education

Bachelor's Degree in Computer Science / IT / Data Analytics or related field

Tools

SQL

SAS

R

Python

Job description

Main Purpose of the Role

Develop, constructs, tests, and maintains data architectures such as databases and large-scale processing systems, where the focus is on infrastructure and data flow management. They are responsible for building & maintaining data pipelines (ETL processes; ensuring data quality & reliability; designing and managing data warehouses and databases; and integrating data from various sources. Data engineers create the systems and structures that allow data to be collected, stored, & processed efficiently

Main Responsibilities

Core Job Responsibilities

• Assists in the deployment and monitoring of data pipelines and workflows under guidance from senior engineers.

• Supports basic data quality initiatives & integration through testing and validation processes.

• Builds basic analytic data sets for exploration and modeling.

• Assists in the implementation of data security measures, compliance, standards, and policies.

• Documents data processes, procedures, and workflows for knowledge sharing.

• Assist with data pipeline development, data cleaning and preprocessing.

• Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering.

• Assists in the scoping, planning and delivery of projects.

• Assists in data collection and cleansing efforts; focused on building and maintaining the infrastructure processes that automate data collection and cleansing.

• Understands the fundamentals of big data storage and distribution systems and relevant software tools, their constraints, advantages and disadvantages.

• Maintains awareness of trends and best practice approaches

Supervisory / Management Responsibility

• Receives specific direction and guidance from more experienced team members. Adapts to changing priorities as they arise.

• Completes own work details and assignments of low complexity and guidance from senior level engineers.

• Collaborates for results and participates in idea-sharing and solution development.

• Escalates issues to more senior colleagues as required.

• Works well with others in a collaborative, goal-driven environment.

Position Accountability/ Scope

• Contributes to multiple projects to support analytical tasks, with a moderate to high level of support provided by colleagues.

• Relevant skills include data mining, informatics, programming, information retrieval, databases and data structures, software engineering and systems design analysis.

• Familiar with a range of mainstream commercial and open-source data tools, their constraints, advantages, disadvantages and areas of application; Has intermediate skill in using at least one such tool.

• Familiar with data and statistical programming languages (such as SQL, SAS, R and Python). Basic programming skills. Ability to interpret an existing script of moderate complexity

• Conducts data acquisition from relational databases and flat files.

• Wrangles low-complexity data, selecting appropriate techniques, such as parsing, or an algorithm, to create a data structure relevant to the problem.

• Seeks mentorship opportunities in the organization to gain a diverse perspective.

Qualification

Education

Bachelors Degree (± 16 years)

Computer Science, Information Technology, Data Analytics, Data Science or similar discipline including Databases, Mathematics, Statistics, Physics, or Engineering is preferred

Experience / Background

Minimum 1 year

• Work experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree

• Training using mathematical modeling and statistical analysis

• Basic experience of database applications

• Basic knowledge of several tools (such as SAS, R or Python, SQL)

• Prior experience/education in life sciences or healthcare preferred