A Software Engineer at Datics plays a crucial role in developing innovative software solutions that directly impact user experience and business outcomes. You will be tasked with designing, implementing, and maintaining software applications that not only meet client needs but also align with the company’s strategic vision. In a fast-paced environment characterized by a commitment to quality and agility, your contributions will help drive the success of Datics' diverse product offerings. This role is critical as it involves solving complex problems, optimizing existing systems, and collaborating across teams to enhance product functionality. You will work on projects that range from web applications to data analytics platforms, ensuring that the end-user experience is seamless and efficient. The opportunities to grow, learn, and impact the organization are abundant, making the Software Engineer position both challenging and rewarding.
Initial Screening
reportedThe process begins with an initial screening to assess basic qualifications and fit for the role.
What to demonstrate
- The process begins with an initial screening to assess basic qualifications and fit for the role
- Depth in Interview Process (Screening → Technical → Final)
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical Interview
reportedA technical interview that dives into your coding abilities and problem-solving skills.
What to demonstrate
- A technical interview that dives into your coding abilities and problem-solving skills
- Depth in Interview Process (Screening → Technical → Final)
How to prepare
- Answer aloud and timed: Describe your experience with cloud platforms and how you have leveraged them in past projects.
- Answer aloud and timed: Can you explain a time when you optimized an existing codebase?
Leadership Interview
reportedThe final round often includes a leadership or CEO interview to explore overall fit and alignment with the company's vision.
What to demonstrate
- The final round often includes a leadership or CEO interview to explore overall fit and alignment with the company's vision
- Depth in Interview Process (Screening → Technical → Final)
How to prepare
- Answer aloud and timed: What design patterns are you familiar with, and how have you applied them?
- Answer aloud and timed: How would you approach debugging a complex system issue?
PracHub editorial advice for the preparation topics above.
Practice coding interviews
Regularly engage in coding exercises and mock interviews to sharpen your technical skills and confidence.
Understand the company’s products
Familiarize yourself with Datics' offerings and how they address customer needs, as this knowledge can enhance your answers during interviews.
Prepare for behavioral questions
Reflect on past experiences that demonstrate your leadership and teamwork abilities, as well as how you handle challenges.
Be ready to ask questions
Prepare thoughtful questions for your interviewers, showing your interest in the role and the company.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Write a function to reverse a linked list.
Write a function to reverse a linked list.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Explain how you would implement a binary search algorithm.
Explain how you would implement a binary search algorithm.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Can you solve a common coding challenge, such as finding the longest substring without repeating characters?
Can you solve a common coding challenge, such as finding the longest substring without repeating characters?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How do you approach optimizing your code for performance?
How do you approach optimizing your code for performance?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
Stop tag and share joins from fanning out a page
resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.
Approach
- Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
- Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
- Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
- Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.
Follow-up
- The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
- A resource can be shared with the same user twice under different permissions. Does your count change, and should it?
Explain the difference between object-oriented and functional programming.
Explain the difference between object-oriented and functional programming.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What design patterns are you familiar with, and how have you applied them?
What design patterns are you familiar with, and how have you applied them?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe a challenging technical problem you faced and how you resolved it.
Describe a challenging technical problem you faced and how you resolved it.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
If given a tight deadline, how would you prioritize tasks in a software development project?
If given a tight deadline, how would you prioritize tasks in a software development project?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Discuss a scenario where you had to balance technical debt against product delivery.
Discuss a scenario where you had to balance technical debt against product delivery.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you approach debugging a complex system issue?
How would you approach debugging a complex system issue?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics Datics candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Datics loop
- Write out the reported sequence: Initial Screening, Technical Interview, Leadership Interview.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Interview Process (Screening → Technical → Final)
- Spend the session on Interview Process (Screening → Technical → Final), which Datics candidates report being tested on.
- Write one worked example in Interview Process (Screening → Technical → Final) and time yourself on it.
Deliverable: One timed worked example in Interview Process (Screening → Technical → Final).
03Work Technical Interview Preparation
- Spend the session on Technical Interview Preparation, which Datics candidates report being tested on.
- Write one worked example in Technical Interview Preparation and time yourself on it.
Deliverable: One timed worked example in Technical Interview Preparation.
04Work Leadership / CEO Round (Stakeholder Communication)
- Spend the session on Leadership / CEO Round (Stakeholder Communication), which Datics candidates report being tested on.
- Write one worked example in Leadership / CEO Round (Stakeholder Communication) and time yourself on it.
Deliverable: One timed worked example in Leadership / CEO Round (Stakeholder Communication).
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Explain the difference between object-oriented and functional programming.
- Answer aloud, timed: How do you handle version control in your projects?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Problem-solving / Case Studies
- Answer aloud, timed: How would you approach debugging a complex system issue?
- Answer aloud, timed: Describe a challenging technical problem you faced and how you resolved it.
Deliverable: Spoken answers to 2 reported Problem-solving / Case Studies question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a time when you had to work with a difficult team member.
- Answer aloud, timed: How do you handle feedback, both giving and receiving?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
How do you handle version control in your projects?
How do you handle version control in your projects?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe your experience with cloud platforms and how you have leveraged them in past projects.
Describe your experience with cloud platforms and how you have leveraged them in past projects.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Can you explain a time when you optimized an existing codebase?
Can you explain a time when you optimized an existing codebase?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a time when you had to work with a difficult team member.
Describe a time when you had to work with a difficult team member.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you handle feedback, both giving and receiving?
How do you handle feedback, both giving and receiving?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Can you give an example of a project where you took the lead?
Can you give an example of a project where you took the lead?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you ensure effective communication within a team?
How do you ensure effective communication within a team?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
How do you handle version control in your projects?
- 02
Describe your experience with cloud platforms and how you have leveraged them in past projects.
- 03
Can you explain a time when you optimized an existing codebase?
- 04
Describe a time when you had to work with a difficult team member.
How difficult are the interviews at Datics?
The interviews can be challenging, especially in the technical assessments, but candidates often find the process supportive and constructive.
Datics Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates typically showcase strong technical skills, problem-solving abilities, and a cultural fit with the company values.
Datics Software Engineer candidate reports ↗What is the typical timeline from initial interview to offer?
The timeline can vary but generally ranges from a few weeks to a month, depending on the scheduling of interviews and feedback processes.
Datics Software Engineer candidate reports ↗Is remote work an option at Datics?
Datics offers flexible work arrangements, including remote work options, depending on the team's needs and project requirements.
Datics Software Engineer candidate reports ↗How much preparation time is typical before interviews?
Candidates usually benefit from several weeks of focused preparation, especially regarding technical skills and understanding the company culture.
Datics Software Engineer candidate reports ↗What is the work culture like at Datics?
The culture at Datics is collaborative and innovative, emphasizing teamwork, continuous improvement, and a commitment to quality.
Datics Software Engineer candidate reports ↗How many rounds is the Datics Software Engineer interview process?
Candidates report 3 stages: Initial Screening, Technical Interview, and Leadership Interview. The interview process section above breaks down what each stage covers.
Datics Software Engineer candidate reports ↗What topics come up in the Datics Software Engineer interview?
Datics Software Engineer interviews most often cover Interview Process (Screening → Technical → Final), Technical Interview Preparation, Leadership / CEO Round (Stakeholder Communication), Leadership, and Behavioral/Contextual Reasoning (Situation-based Questions), based on topics extracted from real candidate reports.
Datics Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Datics Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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