SAP ILM Consultant / Architect

SoftServe
Glasgow
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Power BI Reporting Data Analyst (Project Controls)

ERP Data Analyst

Portfolio Revenue & Debt Data Scientist

Portfolio Revenue & Debt Data Analyst

WE ARE

SoftServe is a digital advisor at the intersection of SAP and cutting-edge technologies. We have been a Silver SAP Service Partner since 2021. With extensive experience in Cloud Managed Services, Big Data and Analytics, Security, SAP CX, and S/4 HANA, we bring together the best of SAP and Cloud solutions.

The Platforms Center of Excellence, which includes our SAP Practice, is a team of top-tier experts specializing in specific practices, platforms, and technologies, dedicated to solving the most complex challenges.

We participate in various projects of different sizes and scales, ranging from SAP implementation and S/4 HANA modernization to deep technical assessments and expert coaching for other SAP professionals.

We primarily serve enterprise customers in the US and Western Europe.


IF YOU ARE

  • Proficient in SAP engineering,focusing on SAP classical data archiving, ILM, SAP Content Server, OpenText, and SAP IQ, with 5-7 years of experience
  • Having at least 3 completed SAP Information Lifecycle Management projects
  • Strong in practical experience with migration of SAP Originals or unstructured data (GOS, DMS)
  • Hands-on in ABAP and ABAP OO development
  • Experienced in SAP data technology, including interfaces and data migrations
  • Strong expertise in ILM data archiving, covering ILM Destruction, ILM conversion, DART, and SAP Content Server
  • Demonstrating experience with S/4 HANA or ECC in at least one functional module (FI/CO preferred, SD, MM, PP/QM), with a good understanding of data hierarchy
  • Knowledgeable of at least one country-specific legal requirement (European countries)
  • Familiar with practical experience in migrating to SAP Data Archiving across different SAP versions and various retrieval tools (AIS, PBS, TJC, etc.)
  • Effective at working independently and collaborating optimally
  • Having good English verbal and written communication skills
  • Experienced with SOFFCONT1 migration and size reduction (would be a plus)
  • Eager to work with emerging technologies and cloud integration (as a bonus)


AND YOU WANT TO

  • Analyze database growth and implement ILM archiving solutions
  • Provide installation, configuration, and functional expertise for SAP ILM while assisting with testing and validation
  • Coordinate with collaborators, including functional product teams and external providers
  • Support ILM/IQ productive runs, output evaluation, and bug fixing
  • Participate hands-on in identifying impacts from archiving and implementing mitigation solutions
  • Lead design, testing, production, and postproduction phases in SAP Archiving/ILM implementation projects
  • Configure and implement both standard and custom archive objects across various SAP modules
  • Implement purging or hybrid DVM solutions for technical and staging functional tables using standard or external add-ons (e.g., PBS, TJC)
  • Collaborate with internal functional/technical teams and external providers
  • Conduct release management, including release note analysis, impact assessment, and leading SIT/UAT testing for upgrades and enhancements


TOGETHER WE WILL

  • Engage in interesting consulting where you can explore client businesses over the globe
  • Process dynamic enterprise scale projects
  • Take part in internal and external events where you can build and promote your brand
  • Care about your individual development by participating in training, certifications, mentoring programs, and many other development options
  • Make the world a better place, by engaging in the initiatives of your choice – we are open to them, just come and share your ideas (for us social responsibility is not a marketing tool)


SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.