Data Engineer - People Analytics CoE in Amsterdam

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a ‘no nonsense’ getting-things done mentality, please read on!

As a Data Engineer in People Analytics CoE you will: (1) maintain our ‘GHR Analytics’ platform hosted by TechPoland (2) responsible for the data architecture and infrastructure of a project together with your colleagues. This involves development of data ingestion and transformation pipelines as well as running and monitoring machine learning models.

Your passion is to work with the latest and greatest technologies that delivers the right analysis of data, you’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands-on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

Our Team

The People Analytics CoE consists of 15 people and is part of Global HR. We are working on projects to make ING the best place to work. Our team works agile and is structured in two squads: continuous listening (CL) and Workforce value (WFV), each squad has its own product owner and the squad’s members are either data scientists or business translators. The CL squad develops analytics products which uses data generated mainly by surveys and the WFV squad develops products for different pillars of ING’s workforce planning (structure, performance, skills & competencies). People Analytics is a relative new field and there is a lot of room for experimentation and innovation.

Job description:

As a data engineer in our team you have two main responsibilities: (1) development & production of analytics solution (2) administration of GHR Analytics platform.

People Analytics products:

• You build, automate, and monitor end-to-end analytics solution; either ETL pipelines for our PowerBI dashboards or pipelines which connects our machine learning or NLP models to their web front-end via Flask back-end
• You provide different solutions to tackle our challenges with employee data privacy
• You introduce relevant technologies which relates to our analytics products; examples are Neo4j graph DB, Solr search engine, and Apache Superset for scaled dashboarding
• You design and implement the right IAM for our dashboards & products

GHR Analytics platform: our platform consists of three Windows server (DEV/ACC/PROD) hosted by TechPoland, each server has its own (mounted) MSSQL server with (mounted) DropZones through which we collect data from our different stakeholders.

• You support our asset owner & IT Custodians with our platform’s IT/risk items in ITRMP, RA Tool, GSCO platform (VS/TSCM monitoring), you also support conducting backup & Pentest
• You act as the SPOC between our team & different teams in TechPoland, you will create a knowledge base explaining all different HOW-TO’s on placing questions, incidents, or requests at different teams in TechPoland: Windows server, MSSQL, Network, IAM, etc.
• You set up monitoring the performance of our Windows servers, MSSQL servers, and IIS Webserver, you will create and update PA/NPA accounts and roles following our SOLL matrix
• You maintain our Azure DevOps repos, boards and you will oversee the creation of our test & CI/CD pipelines
• You help our Product Owners to connect their planning to our boards in Azure DevOps and having proper release cycles, you also guide our data scientists with best git practices
• You will build data pipelines which connects our platform & the upcoming GHR Data Lake
• You contribute to the design of our migration roadmap to IPC or Global Analytics platform

Our Stack

Programming: Python, MSSQL, HTML, CSS, JavaScript, with Flask framework as back-end

Dashboarding: PowerBI

Do you recognize yourself in this profile:

• Knowledge of data manipulation and transformation, e.g. SQL
• Hands-on experience building complex data pipelines e.g. ETL
• Programming in Python
• Experience with development on Windows server (PowerShell, Windows IIS)
• Experience in setting up both SQL as well as noSQL databases
• Deployment automation tools CI/CD
• Experience in front-end development (HTML, CSS, and JavaScript)
• Affinity with machine learning and/or natural language processing

Moreover

• You realize that the value of your work is quality x acceptance and want to become better at both. You are proven to be able to give, ask and incorporate feedback.
• You understand that understanding the problem is at least 90% of the solution.

What do we offer?

Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the People Analytics team, a young, innovative, fast moving team. You will work on projects and products about ING’s workforce. We have the mission to make all people related decisions in ING data-driven. A fun environment where there is lots of opportunities to better yourself, ING is building a Global Data Science Academy, to which you have full access. In addition, we offer:

• Fun!
• A competitive salary
• Working with highly skilled people
• Working in an area which is of great importance to the strategy of ING
• An International atmosphere
• A full-time 40 hours position at job level 10
• Great training and education opportunity
• A salary tailored to your qualities and experience;
• Flexible working hours and the possibility to work at home;
• Reimbursement for travel expenses;
• 24 vacation days with a 36-hour working week. If you work 40 hours a week, you will receive 27 vacation days;
• Pension scheme;
• 13th month salary;
• Individual Savings Contribution (BIS), 3.5% of your gross annual salary;
• 8% Holiday payment;
• Personal growth and challenging work with endless possibilities to realize your ambitions;
• An informal working environment with innovative colleagues who strive for the very best.

Questions?

Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter in English by clicking the “Apply” button.

Please note, multiple interview steps involving various business stakeholders will be part of the selection process.